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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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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.

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Article Synopsis
  • * The development of mAbs has evolved from murine antibodies to humanized versions, significantly reducing side effects while offering targeted treatments; however, their high production costs remain a challenge.
  • * Innovations like biosimilar antibodies and advancements in antibody engineering are enhancing the effectiveness and affordability of mAbs, potentially transforming drug therapies and addressing unmet medical needs.
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Molecular Detection of Carbapenemases in Acinetobacter baumannii Strains of Portugal and Association With Sequence Types, Capsular Types, and Virulence.

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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UICE-MIRNet guided image enhancement for underwater object detection.

Sci Rep

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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