Jianhua Du¹, Shaofeng Wang¹, Ting Gao², Huiwen Sun², Wenjing Liu^1,*

Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.071189 - 08 January 2026

Abstract In ultrasonic non-destructive testing of high-temperature industrial equipment, sound velocity drift induced by non-uniform temperature fields can severely compromise defect localization accuracy. Conventional approaches that rely on room-temperature sound velocities introduce systematic errors, potentially leading to misjudgment of safety-critical components. Two primary challenges hinder current methods: first, it is difficult to monitor real-time changes in sound velocity distribution within a thermal gradient; second, traditional uniform-temperature correction models fail to capture the nonlinear dependence of material properties on temperature and their effect on ultrasonic velocity fields. Here, we propose a defect localization correction method based on… More >

Şeref Barbaros Arik^1,2,*, İnanç Güvenç^1,2

Canadian Journal of Urology, Vol.32, No.6, pp. 569-578, 2025, DOI:10.32604/cju.2025.068094 - 30 December 2025

Abstract Objectives: Differentiating benign from malignant testicular lesions is essential to avoid unnecessary surgery and ensure timely intervention. While conventional ultrasound remains the first-line imaging method, elastography and MRI provide additional functional and structural information. This study assesses the diagnostic utility of testicular elastography and magnetic resonance imaging (MRI) in differentiating benign and malignant testicular lesions. Methods: Patients with sonographically detected testicular masses were retrospectively evaluated using elastography, scrotal MRI, and tumor markers. Quantitative and qualitative imaging findings, lesion size, and laboratory values were recorded. Statistical analyses included Fisher’s exact test, logistic regression, Receiver operating characteristic… More >

Charles H. Schlaepfer¹, Zubin Shetty¹, Vignesh T. Packiam¹, Chad R. Tracy¹, Elizabeth B. Takacs¹, Ruslan Korets², Ryan L. Steinberg^1,*

Canadian Journal of Urology, Vol.32, No.6, pp. 643-649, 2025, DOI:10.32604/cju.2025.064818 - 30 December 2025

Abstract Introduction: Point-of-care ultrasound (POCUS) is a valuable tool for clinicians, but little data exists regarding the perceptions of ideal POCUS utilization, as compared to actual use, amongst urologists. We aim to assess how perceptions align or diverge with actual practice. Methods: An institutional review board (IRB)-approved survey was developed and disseminated by email to 6 of 8 American Urologic Association Sections, program directors via the Society of Academic Urologists, and to 2 residency programs. The primary outcome was to assess differences in current and perceived optimal use. Data was collected via the University of Iowa… More >

Joon Yau Leong¹, Tyler Gaines², Zachary J. Prebay¹, David Ebbott¹, Paul H. Chung^1,*

Canadian Journal of Urology, Vol.32, No.6, pp. 589-595, 2025, DOI:10.32604/cju.2025.064125 - 30 December 2025

Abstract Introduction: Despite the diagnostic value of intracavernosal injections (ICI) and penile Doppler ultrasound (PDUS), there remain barriers to widespread clinical adaptation of these methods. The study aimed to evaluate the practice patterns of utilization of ICI and PDUS in the assessment of erectile dysfunction (ED) and Peyronie’s disease (PD). Methods: Using the TriNetX database (Cambridge, MA, USA), adult (≥18 years) male patients with a diagnosis of ED on oral phosphodiesterase-5 (PDE5) inhibitors were identified. Current Procedural Terminology codes were utilized to identify patients who underwent further evaluation with ICI or PDUS, as well as penile… More >

Bo Yang^1,2, Yu Zhou³, Jiawei Tian^4,*, Xiang Zhang², Fupei Guo², Shan Liu^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2253-2276, 2025, DOI:10.32604/cmes.2025.072031 - 26 November 2025

Abstract Accurate calibration of surgical instruments and ultrasound probes is essential for achieving high precision in image guided minimally invasive procedures. However, existing methods typically treat the calibration of the needle tip and the ultrasound probe as two independent processes, lacking an integrated calibration mechanism, which often leads to cumulative errors and reduced spatial consistency. To address this challenge, we propose a joint calibration model that unifies the calibration of the surgical needle tip and the ultrasound probe within a single coordinate system. The method formulates the calibration process through a series of mathematical models and… More >

Akbare Yaqub^1,2, Muhammad Sadiq Orakzai², Muhammad Farrukh Qureshi^3,4, Zohaib Mushtaq⁵, Imran Siddique^6,7, Taha Radwan^8,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2503-2533, 2025, DOI:10.32604/cmes.2025.071571 - 26 November 2025

Abstract Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, necessitating efficient diagnostic tools. This study develops and validates a deep learning framework for phonocardiogram (PCG) classification, focusing on model generalizability and robustness. Initially, a ResNet-18 model was trained on the PhysioNet 2016 dataset, achieving high accuracy. To assess real-world viability, we conducted extensive external validation on the HLS-CMDS dataset. We performed four key experiments: (1) Fine-tuning the PhysioNet-trained model for binary (Normal/Abnormal) classification on HLS-CMDS, achieving 88% accuracy. (2) Fine-tuning the same model for multi-class classification (Normal, Murmur, Extra Sound, Rhythm Disorder), which yielded… More >

Mudasir Ali¹, Muhammad Faheem Mushtaq², Urooj Akram², Nagwan Abdel Samee^3,*, Mona M. Jamjoom⁴, Imran Ashraf^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1863-1901, 2025, DOI:10.32604/cmes.2025.070389 - 26 November 2025

Abstract Differentiating between regular and abnormal noises in machine-generated sounds is a crucial but difficult problem. For accurate audio signal classification, suitable and efficient techniques are needed, particularly machine learning approaches for automated classification. Due to the dynamic and diverse representative characteristics of audio data, the probability of achieving high classification accuracy is relatively low and requires further research efforts. This study proposes an ensemble model based on the LeNet and hierarchical attention mechanism (HAM) models with MFCC features to enhance the models’ capacity to handle bias. Additionally, CNNs, bidirectional LSTM (BiLSTM), CRNN, LSTM, capsule network More >

Pengfei Zhang¹, Zhonghua Li^1,*, Miao Zhao², Fei Liu³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-2, 2025, DOI:10.32604/icces.2025.011271

Abstract The sandwich structure based on Triply periodic minimal surface (TPMS) is a lightweight and high-strength multifunctional composite material that combines the versatility of heat exchange, impact resistance, and energy absorption, and has been widely used in various fields such as aviation and aerospace. However, its sound absorption performance has not meant fully studied. In this study, a micro perforated plate Diamond sandwich structure (MPP-DSS) is proposed based on TPMS implicit function method, which is composed of solid panel, TPMS macro-ordered porous structure and micro-perforated plate. The sound absorption performance in the middle and low frequency… More >

Xinwei Li^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-2, 2025, DOI:10.32604/icces.2025.010448

Abstract Advances in 3D printing have unlocked new opportunities for developing lattice structures tailored for enhanced sound absorption. This work explores methods to maximize sound absorption in microlattice designs by introducing heterogeneity, leveraging dual dissipation mechanisms, and reshaping cavity wall geometries. We present a multilayered Helmholtz resonance (MLHR) analytical model to predict and guide the design of broadband sound-absorbing lattices [1]. Through structural optimization, we demonstrate that heterogeneous microlattices with varying pore and cavity morphologies achieve broadband absorption [2–4], with experimentally validated absorption coefficients exceeding 0.75 across a wide frequency range from 1000 to 6300 Hz.
Beyond… More >

Surelys Ramos-Bell¹, Edson Rayón-Díaz¹, Juan A. Herrera-González², Estefanía Martínez-Batista¹, Rita M. Velázquez-Estrada¹, Porfirio Gutiérrez–Martínez^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3145-3156, 2025, DOI:10.32604/phyton.2025.071543 - 29 October 2025

Abstract A significant portion of losses in the fruit and vegetable sector are caused by the necrotrophic fungus Botrytis cinerea, due to its high prevalence in over 1000 crop species. Identifying a technology capable of exclusively inhibiting its growth and development remains challenging; therefore, various treatments have been proposed to act synergistically in preventing the spread of this pathogen. The objective of this study was to evaluate an ultrasound-assisted treatment combined with chitosan to control the development of B. cinerea. In vitro analyses showed that combining temperature, ultrasound, and chitosan inhibited the fungal radial growth by 80%, reduced sporulation, More >