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Flood change detection model based on an improved U-net network and multi-head attention mechanism.
Sci Rep
January 2025
School of Transportation and Geometics Engineering, Yangling Vocational & Technical College, Yangling, 712100, Shaanxi, China.
This work aims to improve the accuracy and efficiency of flood disaster monitoring, including monitoring before, during, and after the flood, to achieve accurate extraction of flood disaster change information. A modified U-Net network model, incorporating the Transformer multi-head attention mechanism (TM), is developed specifically for the characteristics of Synthetic Aperture Radar (SAR) images. By integrating the TM, the model effectively prioritizes image regions relevant to flood disasters.
View Article and Find Full Text PDF[Predictive model for ejection fraction improvement at one year in patients with acute ST-segment elevation myocardial infarction complicated with heart failure with reduced ejection fraction].
Zhonghua Yi Xue Za Zhi
January 2025
Ningbo Hangzhou Bay Hospital(Ningbo Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai),Ningbo315336, China.
To develop a predictive model for improvement of ejection fraction 1 year after heart failure with reduced ejection fraction (HFrEF) following acute ST-segment elevation myocardial infarction (STEMI). This nested case-control study included STEMI patients diagnosed with HFrEF from a prospective multicenter multimodality imaging cohort between August 2014 and March 2021. Based on the improvement of left ventricular ejection fraction (LVEF) at baseline and 1-year follow-up, the patients were classified into the heart failure with improved ejection fraction (HFimpEF) group and the persistent HFrEF group.
View Article and Find Full Text PDFLongitudinal Assessment of Pulmonary Involvement and Prognosis in Different Subtypes of COVID-19 Patients After One Year Using Low-Dose CT: A Prospective Observational Study.
Acad Radiol
January 2025
Radiology Department, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China (J.Z., F.X., Q.S., J.T., S.W., X.L.). Electronic address:
Rationale And Objectives: Severe COVID-19 typically results in pulmonary sequelae. However, current research lacks clarity on the differences in these sequelae among various clinical subtypes. This study aimed to evaluate the changing lung imaging features and predictive factors in patients with COVID-19 pneumonia in northern China over a 12-month follow-up period after the relaxation of COVID-19 restrictions in 2022.
View Article and Find Full Text PDFIntratumoral delivery of Mitomycin C using bio-responsive Gellan Gum Nanogel: In-vitro evaluation and enhanced chemotherapeutic efficacy.
Int J Biol Macromol
January 2025
Division of Pharmaceutics and Pharmacokinetics, CSIR-Central Drug Research Institute, Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India. Electronic address:
Intratumoral drug delivery systems hold immense promise in overcoming the limitations of conventional IV chemotherapy, particularly in enhancing therapeutic efficacy and minimizing systemic side effects. In this study, we introduce a novel redox-responsive intratumoral nanogel system that combines the biocompatibility of natural polysaccharides with the tailored properties of synthetic polymers. The nanogel features a unique cross-linked architecture incorporating redox-sensitive segments, designed to leverage the elevated glutathione levels in the tumor microenvironment for controlled drug release.
View Article and Find Full Text PDFIntroduction: Elexacaftor/tezacaftor/ivacaftor (ETI) has shown significant improvements in pulmonary and nutritional status in persons with cystic fibrosis (pwCF). Less is known about the extrapulmonary impact of ETI and effects on airway microbiology, lung clearance index (LCI) and fraction of exhaled nitric oxide (FeNO).
Methods: A multicentre prospective observational trial, including 79 pwCF ≥ 18 years eligible for ETI.
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