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ShadowGAN-Former: Reweighting self-attention based on mask for shadow removal.
Neural Netw
January 2025
Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Shadow removal remains a challenging visual task aimed at restoring the original brightness of shadow regions in images. Many existing methods overlook the implicit clues within non-shadow regions, leading to inconsistencies in the color, texture, and illumination of the reconstructed shadow-free images. To address these issues, we propose an efficient hybrid model of Transformer and Generative Adversarial Network (GAN), named ShadowGAN-Former, which utilizes information from non-shadow regions to assist in shadow removal.
View Article and Find Full Text PDFAssociation of ESR1 Polymorphisms with Susceptibility to Migraine: A Meta-Analysis and Trial Sequential Analysis.
Curr Pain Headache Rep
January 2025
ImmGen EvSys Lab, BT-113 Department of Biotechnology, Berhampur University, Bhanja Bihar Berhampur, Berhampur, 760007, Odisha, India.
Background: Migraine is a highly prevalent and incapacitating neurological disorder mostly characterised by recurring attacks of moderate to severe throbbing and pulsating pain on one side of the head. The role of estrogen in migraine has been well documented. Although genetic variations in the ESR1 gene have been associated with an increased risk of developing migraine, the findings are inconsistent.
View Article and Find Full Text PDFImpact of the unconventional extraction on antioxidants and antimicrobial characteristics of hibiscus and olive leaves extracts.
Heliyon
January 2025
Food Science Department, Faculty of Agriculture, Zagazig University, Zagazig, 44511, Egypt.
The antioxidant extracts considered a very important food additive which promoting the protection of lipid and prolong the shelf life of food products. The aim of this investigation was decrease the time of extraction of hibiscus leaves extract (HLE) and olive leaves extract (OLE) from 48 h to only 6 h without reducing efficiency of these extracts. HPLC assay, scavenging radical activity by DPPH˙ (IC), inhibition lipid peroxidation by both β-Carotene/Linoleic Acid Bleaching (βCB) and Thiobarbituric Acid Reactive Substances (TBARs) assays, antibacterial and antifungal activities measured for different concentrations of ethanolic extracts by conventional extraction (CE) and difference in pressure extraction (DPE) methods, and the results shown a considerable in mean difference ( < 0.
View Article and Find Full Text PDFAn Oxidative Stress Nanoamplifier to Enhance the Efficacy of Cisplatin in Head and Neck Cancer.
Angew Chem Int Ed Engl
January 2025
NCNST: National Center for Nanoscience and Technology, CAS Key Lab for Biomedical Effects of Nanomaterials and Nanosafety, No 11, Zhongguancun Beiyitiao, Haidian, 100190, Beijing, CHINA.
Cisplatin (CP) is a first-line platinum-based drug used for the treatment of head and neck cancer. However, tumor cells can diminish the therapeutic effects of CP through the detoxification system mediated by glutathione (GSH) and the nucleotide excision repair (NER) pathway. Herein, we present a light-activable and pH-responsive oxidative stress nanoamplifier (FPLC@IR OSNA), comprising an amphiphilic compound (FPLC) with Fmoc-lysine acting as a connector between a nitroimidazole derivative and a pH-responsive cinnamaldehyde (CA) derivative, loaded with photosensitizer IR780.
View Article and Find Full Text PDFA deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study.
Front Neurol
January 2025
Department of Radiology, The First People's Hospital of Lianyungang, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, China.
Objective: To develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model.
Methods: We retrospectively collected data from patients with carotid atherosclerotic plaques who underwent continuous CTA examinations of the head and neck at a tertiary hospital from October 2020 to October 2022. The model combined ResUNet with the Pyramid Scene Parsing Network (PSPNet) to enhance plaque segmentation.
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