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Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques.
PLoS One
January 2025
Faculty of Science and Engineering, School of Computer Science, University of Hull, Hull, United Kingdom.
Mold defects pose a significant risk to the preservation of valuable fine art paintings, typically arising from fungal growth in humid environments. This paper presents a novel approach for detecting and categorizing mold defects in fine art paintings. The technique leverages a feature extraction method called Derivative Level Thresholding to pinpoint suspicious regions within an image.
View Article and Find Full Text PDFMulticenter randomized double-blind placebo-controlled crossover study of the effect of prolonged noisy galvanic vestibular stimulation on posture or gait in vestibulopathy.
PLoS One
January 2025
Department of Otolaryngology and Head and Neck Surgery, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Objective: This multicenter, randomized, double-blind, placebo-controlled, crossover trial aimed to evaluate whether prolonged noisy galvanic vestibular stimulation improves body balance in patients with vestibulopathy.
Materials And Methods: This trial was registered in the Japan Pharmaceutical Information Center Clinical Trials Information registry (jRCT1080224083). Subjects were 20- to 85-year-old patients who had been unsteady for more than one year and whose symptoms had persisted despite more than six months of rehabilitation.
Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means.
PLoS One
January 2025
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, RP China.
This study develops an innovative method for analyzing and clustering tonal trends in Chinese Yue Opera to identify different vocal styles accurately. Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features.
View Article and Find Full Text PDFA spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.
PLoS One
January 2025
Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan.
Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means they always rely on specific assumptions and are sensitive to outliers. Existing machine learning based methods convert features containing spatial information into one-dimensional vectors, resulting in the loss of some spatial features of the data.
View Article and Find Full Text PDFEvaluating the performance of a new ergonomic laparoscopic needle holder for intracorporeal suturing.
PLoS One
January 2025
Instituto de Ciencias Aplicadas y Tecnología (ICAT), Universidad Nacional Autónoma de México (UNAM), Ciudad de México, México.
In laparoscopy, the absence of ergonomics in the instruments affects the performance and efficiency of the surgeon, increasing the likelihood of developing musculoskeletal injuries. This article presents the development of a laparoscopic needle holder with an ergonomic handle and the experience in its use with surgeons in the intracorporeal suturing task. The handle of the laparoscopic needle holder consists of a semi-spherical piece that easily adapts to the palm of the surgeon's hand and improves the posture and ergonomics of the wrist, allowing the direct transmission of rotational movements around the longitudinal axis of the instrument towards the tip.
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