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Sci Rep
October 2024
Department of Biostatistics, School of Medicine, Ordu University, Ordu, Turkey.
Corrosive esophageal burn (CEB) is a disease with high mortality and morbidity rates. The aim of this study was to determine the efficacy of castor oil, in preventing stricture development at the experimental CEB model. In addition to studying standard histopathological damage data, neopterin, IL-33, and ST-2 proteins were also studied for the first time.
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September 2024
CEB-Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
The main goal of this work was to develop bio-based and ecofriendly intelligent films as freshness indicators to monitor European hake () quality during storage by using a visual, non-destructive, and real-time technique. Locust bean gum (LBG)/κ-carrageenan (Car) films incorporating blueberry extract (BLE) or beetroot extract (BEE) were developed and their effectiveness to detect hake deterioration during 7 days of storage at 4 °C was evaluated. A visible color response from pink to blue was observed on the BLE films at the end of hake storage, which correlated with the hake deterioration profile, namely an increase in pH values (from 6.
View Article and Find Full Text PDFMol Biomed
October 2024
Department of Pharmacognosy, Faculty of Pharmacy and Drug Technology, Egyptian Chinese University (ECU), Cairo, Egypt.
Clin Ther
December 2024
CEB - Centre of Biological Engineering, University of Minho, Braga, Portugal; LABBELS - Associate Laboratory, Braga/Guimarães, Portugal. Electronic address:
Purpose: Carbapenem-resistant Acinetobacter baumannii (CRAB) is an important nosocomial pathogen. The capsular type (K-type) is considered a major virulence factor, contributing to the evasion of host defenses. The global spread and dissemination dynamics between K-types, sequence types (ST), antibiotic resistance genes, and virulence factors remain largely unknown in Portugal.
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September 2024
Department of Computer Science and Engineering, NIT Rourkela, Rourkela, 769008, India.
Underwater object detection is a crucial aspect of monitoring the aquaculture resources to preserve the marine ecosystem. In most cases, Low-light and scattered lighting conditions create challenges for computer vision-based underwater object detection. To address these issues, low-colorfulness and low-light image enhancement techniques are explored.
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