Publications by authors named "L E Quijano"

From the aerial parts of Zamudio and Bedolla, three new icetexane-type diterpenoids were isolated. Their structures were established through spectroscopic methods and named the following: salvicarranzanolide (), 19-deoxo-salvicarranzanolide () and 19-deoxo-20-deoxy-salvicarranzanolide (). In addition, the known icetexane-type diterpenoids, 6,7,11,14-tetrahydro-7-oxo-icetexone (), -icetexone (), 19-deoxo--icetexone (), icetexone (), 19-deoxo-icetexone () and 7α-acetoxy-6,7-dihydroicetexone (), were also isolated, along with the abietanes sessein () and ferruginol ().

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Myasthenia gravis (MG) is a rare, autoimmune, antibody-mediated, neuromuscular disease. This study analyzed digital conversations about MG to explore unprovoked perspectives. Advanced search, data extraction, and artificial intelligence-powered algorithms were used to harvest, mine, and structure public domain digital conversations about MG from US Internet Protocol addresses (August 2021 to August 2022).

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Recent studies have identified an extracellular vesicle population that is tightly anchored within the extracellular matrix (ECM) of tissues and organs until released by matrix turnover events. Evidence suggests that these matrix-bound nanovesicles (MBVs) are a ubiquitous component of the ECM, raising questions regarding their tissue-specific identity and their biologic function(s). The primary objective of this study was to examine MBVs isolated from six different tissues and compare their physical and compositional characteristics to determine the common and differentially expressed features.

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Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics that can help identify steps needed to enhance the research conducted in this field.

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Article Synopsis
  • The study reviewed soil erosion prediction models from peer-reviewed literature published between 1994 and 2017, aiming to identify key processes, application regions, and gaps in research.
  • A collaborative effort involving 67 soil-erosion scientists led to the creation of the 'Global Applications of Soil Erosion Modelling Tracker (GASEMT)', which compiled 3030 modeling records from 126 countries, covering all continents except Antarctica.
  • The GASEMT database is open-source, designed to support future soil erosion research and the United Nations' global soil erosion assessment, allowing for community contributions and enhancements.
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