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 >

Alena Vjuginova^1,*, Leonid Leontyev²

Journal of Renewable Materials, Vol.13, No.9, pp. 1819-1828, 2025, DOI:10.32604/jrm.2025.02025-0061 - 22 September 2025

Abstract In this paper, the stability of the results of ultrasonic wood surface modification after long-term storage, including macroscopic properties and microstructure of specimens, was investigated. Specimens of aspen wood (Populus tremula) were processed by the developed ultrasonic method of wood surface modification in three different treatment modes and the surface hardness of the specimens was evaluated after processing and after storing the specimens for more than 5 years since long-term stability is an important factor for the use of ultrasonically modified sawn timber as construction and finishing materials. The obtained results of surface hardness measurements by… More > Graphic Abstract

Sami Alrabie^#,*, Ahmed Barnawi^#

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2481-2519, 2025, DOI:10.32604/cmes.2025.067977 - 31 August 2025

Abstract In the effort to enhance cardiovascular diagnostics, deep learning-based heart sound classification presents a promising solution. This research introduces a novel preprocessing method: iterative k-means clustering combined with silhouette score analysis, aimed at downsampling. This approach ensures optimal cluster formation and improves data quality for deep learning models. The process involves applying k-means clustering to the dataset, calculating the average silhouette score for each cluster, and selecting the cluster with the highest score. We evaluated this method using 10-fold cross-validation across various transfer learning models from different families and architectures. The evaluation was conducted on… More >

Shitong Ye¹, Bo Yang^2,*, Hao Quan³, Shan Liu⁴, Minyi Tang⁵, Jiawei Tian^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2287-2306, 2025, DOI:10.32604/cmes.2025.066195 - 31 August 2025

Abstract Computer-aided surgical navigation technology helps and guides doctors to complete the operation smoothly, which simulates the whole surgical environment with computer technology, and then visualizes the whole operation link in three dimensions. At present, common image-guided surgical techniques such as computed tomography (CT) and X-ray imaging (X-ray) will cause radiation damage to the human body during the imaging process. To address this, we propose a novel Extended Kalman filter-based model that tracks the puncture needle-point using an ultrasound probe. To address the limitations of Kalman filtering methods based on position and velocity, our method of More >

Ying Zhou¹, Jiayang Yuan¹, Zhengtao Shu¹, Mengli Ye¹, Liang Gao¹, Qiong Wang^2,*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 557-580, 2025, DOI:10.32604/cmc.2025.067761 - 29 August 2025

Abstract Simultaneously, reducing an acoustic metamaterial’s weight and sound pressure level is an important but difficult topic. Considering the law of mass, traditional lightweight acoustic metamaterials make it difficult to control noise efficiently in real-life applications. In this study, a novel optimization-driven design scheme is developed to obtain lightweight acoustic metamaterials with a strong sound insulation capability for additive manufacturing. In the proposed design scheme, a topology optimization method for an acoustic metamaterial in the acoustic-solid interaction system is implemented to obtain an initial cross-sectional topology of the acoustic microstructure during the conceptual design phase. Then, More >

Qaisara Yusriena Yusaini¹, Muhammad Abdul Hakim Muhamad^1,*, Raiz Razali^1,*, Rozaimi Che Hasan², Mohd Shahmy Mohd Said¹, Mohd Zainee Mohd Zainal^1,2, Ikhsan Nuradi³

Revue Internationale de Géomatique, Vol.34, pp. 535-552, 2025, DOI:10.32604/rig.2025.065284 - 06 August 2025

Abstract Sediment mapping is a crucial component of environmental science, particularly in the marine environment, where the analysis of seabed sediments is essential for various purposes, including marine resource management, habitat preservation, and infrastructure development. Sediment refers to the solid particles that are transported and deposited in different areas. Multibeam echosounders have revolutionized the field of seabed sediment mapping by providing unparalleled resolution and accuracy in seafloor surveys. This study aimed to produce sediment maps by implementing multi-frequency, e.g., 200, 400, 550, and 700 kHz multibeam data using a machine learning algorithm, e.g., Support Vector Machine… More >

Won-Yang Cho, Sangjun Lee^*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2847-2863, 2025, DOI:10.32604/cmc.2025.066373 - 03 July 2025

Abstract The classification of respiratory sounds is crucial in diagnosing and monitoring respiratory diseases. However, auscultation is highly subjective, making it challenging to analyze respiratory sounds accurately. Although deep learning has been increasingly applied to this task, most existing approaches have primarily relied on supervised learning. Since supervised learning requires large amounts of labeled data, recent studies have explored self-supervised and semi-supervised methods to overcome this limitation. However, these approaches have largely assumed a closed-set setting, where the classes present in the unlabeled data are considered identical to those in the labeled data. In contrast, this… More >

Deepak Mahto¹, Sudhakar Kumar¹, Sunil K. Singh¹, Amit Chhabra¹, Irfan Ahmad Khan², Varsha Arya^3,4, Wadee Alhalabi⁵, Brij B. Gupta^6,7,8,9,*, Bassma Saleh Alsulami¹⁰

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3743-3767, 2025, DOI:10.32604/cmes.2025.063427 - 30 June 2025

Abstract Cardiovascular diseases (CVDs) remain one of the foremost causes of death globally; hence, the need for several must-have, advanced automated diagnostic solutions towards early detection and intervention. Traditional auscultation of cardiovascular sounds is heavily reliant on clinical expertise and subject to high variability. To counter this limitation, this study proposes an AI-driven classification system for cardiovascular sounds whereby deep learning techniques are engaged to automate the detection of an abnormal heartbeat. We employ FastAI vision-learner-based convolutional neural networks (CNNs) that include ResNet, DenseNet, VGG, ConvNeXt, SqueezeNet, and AlexNet to classify heart sound recordings. Instead of… More >

Lucas Leal Lima¹, Angélica Souza Gouveia¹, Analice Martins Duarte¹, Filipe Schitini Salgado², Nathália Silva Oliveira¹, Monique da Silva Bonjour¹, Iana Pedro da Silva Quadros¹, Maria Goreti Almeida Oliveira¹, Flavia Maria Silva Carmo², Elizabeth Pacheco Batista Fontes¹, Humberto Josué de Oliveira Ramos^1,3,*

Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1787-1810, 2025, DOI:10.32604/phyton.2025.064068 - 27 June 2025

Abstract Sound contains mechanical signals that can promote physiological and biochemical changes in plants. Insects produce different sounds in the environment, which may be relevant to plant behavior. Thus, we evaluated whether signaling cascades are regulated differently by ecological sounds and whether they trigger molecular responses following those produced by herbivorous insects. Soybean plants were treated with two different sounds: chewing herbivore and forest ambient. The responses were markedly distinct, indicating that sound signals may also trigger specific cascades. Enzymes involved in oxidative metabolism were responsive to both sounds, while salicylic acid (SA) was responsive only… More >

Simon Tanguay

Canadian Journal of Urology, Vol.32, No.2, pp. 1767-1767, 2025

Abstract This article has no abstract. More >