Deterministic damage detection methods often fail in practical applications due to ever-present uncertainties. Moreover, vibration-based model updating strategies are easily affected by measurement noises and could encounter ill-conditioning problems during inverse solutions. On this account, a model-free method has been proposed combining modal interval analyses with static measurements. Structural geometrical dimensions, material parameters and external loads are expressed by interval variables representing uncertainties. Mechanical formulas for static responses are then extended to their interval forms, which are subsequently solved using classic interval and modal interval analyses. The analytical interval envelopes of static responses such as deflections and strains are defined by the interval solutions, and damage can be detected when the measured responses intersect the envelopes. By this approach, potential damage can be found in a fast and rough way without any inverse solution process such as model updating. The proposed method has been verified against both numerical and experimental reinforced concrete beams whose strains were taken as the desirable responses. It was found that the strain envelopes provided by modal interval analysis were narrower than those by classic interval analysis. Modal interval analysis effectively avoids the phenomenon of interval overestimation. In addition, the intersection point also identifies the current external load, providing a loading alarm for structures.
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http://dx.doi.org/10.3390/ma13071567 | DOI Listing |
BMJ Open
December 2024
Centre for Mindfulness-Based Research and Practices, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
Introduction: Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide, with significant morbidity and mortality risks. Despite advancements in surgical care, postoperative complications and recovery challenges persist. The severity of these issues is linked to preoperative functional capacity and emotional distress.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
We observed tunable characteristics of optical frequency combs (OFCs) generated from InGaAs/GaAs double quantum wells (DQWs) asymmetric waveguide two-section mode-locked lasers (TS-MLLs). This involves an asymmetric waveguide mode-locked semiconductor laser (AWML-SL) operating at a center wavelength of net modal gain of approximately 1.06 µm, which indicates a stable pulse shape, with the power-current(P-I) characteristic curve revealing a small difference between forward and reverse drive currents in the gain region.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Internal Medicine Department, Faculty of Medicine, Ahi Evran University, Kirsehir 40200, Turkey.
: Accurate and rapid detection of COVID-19 remains critical for clinical management, especially in resource-limited settings. Current diagnostic methods face challenges in terms of speed and reliability, creating a need for complementary AI-based models that integrate diverse data sources. : This study aimed to develop and evaluate a multi-modal machine learning model that combines clinical biomarkers and chest X-ray images to enhance diagnostic accuracy and provide interpretable insights.
View Article and Find Full Text PDFCognition
December 2024
School of Psychology, Liaoning Collaborative Innovation Center of Children and Adolescents Healthy Personality Assessment and Cultivation, Liaoning Normal University, Dalian 116029, China; School of Foreign Languages, Ningbo University of Technology, Ningbo 315211, China. Electronic address:
In a dynamic visual search environment, a synchronous and meaningless auditory signal (pip) that corresponds with a change in a visual target promotes the efficiency of visual search (pop out), which is known as the pip-and-pop effect. We conducted three experiments to investigate the mechanism of the pip-and-pop effect. Using the eye movement technique, we manipulated the interval rhythm (Exp.
View Article and Find Full Text PDFCancer Imaging
December 2024
Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450000, PR China.
Objective: This study aims to evaluate the effectiveness of deep learning features derived from multi-sequence magnetic resonance imaging (MRI) in determining the O-methylguanine-DNA methyltransferase (MGMT) promoter methylation status among glioblastoma patients.
Methods: Clinical, pathological, and MRI data of 356 glioblastoma patients (251 methylated, 105 unmethylated) were retrospectively examined from the public dataset The Cancer Imaging Archive. Each patient underwent preoperative multi-sequence brain MRI scans, which included T1-weighted imaging (T1WI) and contrast-enhanced T1-weighted imaging (CE-T1WI).
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