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Showing 1 - 20 results of 196 for search '(( based library decrease ) OR ( ai ((larger decrease) OR (marked decrease)) ))', query time: 0.42s Refine Results
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    Library Enabling Annotation of Botanical Natural Products (LEAFBot): An Open-Access Library of Mass Spectrometry Fragmentation Spectra for Plant Metabolites by Victoria M. Anderson (12412672)

    Published 2025
    “…The LEAFBot database represents a new resource to the mass spectrometry and metabolomics community seeking to characterize plant-based samples. The possibility of searching against a taxonomically specific library decreases the likelihood of false positives in database searches, and the ease of adding new spectra, following procedures outlined herein, will enable community-lead expansion of the database.…”
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    Digital Microfluidic Platform Based on Printed Circuit Board for Affinity Evaluation of Mertansine Aptamers by Dongliu Xiang (10688647)

    Published 2025
    “…However, the selection of aptamers typically involves multiple optimizations and an iterative process, including library design, high-affinity library enrichment, sequencing, and affinity assessment of candidate sequences. …”
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    Considering Measurement Time and Depth in diaPASEF Plasma Proteomics by Eva R. Smit (19867170)

    Published 2025
    “…As expected, an increase in the measurement time invested in the spectral library enhanced the number of identifications. At the protein level, in silico libraries provided decreased depth compared to the most extensive experimental library. …”
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    Considering Measurement Time and Depth in diaPASEF Plasma Proteomics by Eva R. Smit (19867170)

    Published 2025
    “…As expected, an increase in the measurement time invested in the spectral library enhanced the number of identifications. At the protein level, in silico libraries provided decreased depth compared to the most extensive experimental library. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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    Group selection as a basis for screening mutagenized libraries of public goods (Bacillus thuringiensis Cry toxins)(dataset) by P Morwool (21953516)

    Published 2025
    “…The production and screening of large libraries of mutagenized toxins is one means of identifying improved toxins. …”
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