Publications by authors named "R Zunino"

Article Synopsis
  • - Organocatalyzed ring-opening polymerization (ROP) is a method for creating biodegradable polymers like polyesters and polycarbonates, and the new OPBU (di)anions are introduced as efficient catalysts that improve selectivity and speed.
  • - OPBU catalysts can achieve high conversion rates of over 95% in a very short time, producing polymers with precise molecular weights and minimal dispersities, indicating nearly ideal polymerization.
  • - The research shows that OPBU catalysts stabilize the transition state in the polymerization process through a hydrogen bond pocket, similar to natural enzymatic catalysis, making them a promising option for controlled polymer synthesis.
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Article Synopsis
  • * Loss of MAPL activates a stress response in the liver, increasing the secretion of the stress hormone FGF21 and leading to the development of liver cancer (hepatocellular carcinoma).
  • * MAPL interacts with the bile acid transporter ABCD3, and its knockout disrupts bile acid synthesis and regulatory feedback, contributing to tumor development and liver dysfunction.
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A rapid point-of-care method for the colorimetric detection of cisplatin was developed, exploiting the efficient conversion of the chemotherapeutic drug into a high-performance nanocatalyst with peroxidase enzyme mimics. This assay provides high specificity and ppb-detection sensitivity with the naked eye or a smartphone-based readout, outperforming many standard laboratory-based techniques. The nanocatalyst-enabled colorimetric assay can be integrated with machine-learning methods, providing accurate quantitative measurements.

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Mitochondria and peroxisomes are metabolically interconnected and functionally active subcellular organelles. These two dynamic organelles, share a number of common biochemical functions such as β-oxidation of fatty acids and detoxification of peroxides. The biogenesis and morphology of both these organelles in the mammalian cells is controlled by common transcription factors like PGC1α, and by a common fission machinery comprising of fission proteins like DRP1, Mff, and hFis1, respectively.

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This paper presents the T-RexNet approach to detect small moving objects in videos by using a deep neural network. T-RexNet combines the advantages of Single-Shot-Detectors with a specific feature-extraction network, thus overcoming the known shortcomings of Single-Shot-Detectors in detecting small objects. The deep convolutional neural network includes two parallel paths: the first path processes both the original picture, in gray-scale format, and differences between consecutive frames; in the second path, differences between a set of three consecutive frames is only handled.

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