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Computational methods for NMR and MS for structure elucidation II: Database resources and advanced methods
(2019-11-01)
Technological advances have contributed to the evolution of the natural product chemistry and drug discovery programs. Recently, computational methods for nuclear magnetic resonance (NMR) and mass spectrometry (MS) have ...
Spectral Reallocation in Lightpaths Encompassing the Most Fragmented Link of Elastic Optical Networks
(Ieee, 2016-01-01)
Dynamic allocation and release of lightpaths cause spectral fragmentation and degrade the bandwidth occupation in elastic optical networks (EON). Spectral reallocation and defragmentation strategies are key issues to ...
Mass Spectral Similarity Networking and Gas-Phase Fragmentation Reactions in the Structural Analysis of Flavonoid Glycoconjugates
(2018-01-01)
Flavonoids represent an important class of natural products with a central role in plant physiology and human health. Their accurate annotation using untargeted mass spectrometry analysis still relies on differentiating ...
Mass spectral similarity networking and gas-phase fragmentation reactions in the structural analysis of flavonoid glycoconjugates
(2019-08-20)
Flavonoids represent an important class of natural products with a central role in plant physiology and human health. Their accurate annotation using untargeted mass spectrometry analysis still relies on differentiating ...
Um estudo estatístico sobre as redes de aeroportos no Brasil
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEstatística - Es, 2021-11-08)
In this work, we study the evolution of the Brazilian airport networks in order to describe their connectivity structure and to analyze if their structure changed during the pandemic caused by COVID-19. To this end, we ...
A neural network-based spectral approach for the assignment of individual trees to genetically differentiated subpopulations
(MDPI, 2022)
Studying population structure has made an essential contribution to understanding evolutionary processes and demographic history in forest ecology research. This inference process basically involves the identification of ...
Molecular networks: An analysis on annotations and discovery of new assetsRedes moleculares: Uma análise sobre anotações e descoberta de novos ativos
(2021-01-01)
To speed up the discovery of bioactive natural products (NP), chemists have sought advanced approaches in analytical and computational chemistry in attempt to organize and extract information from large data sets. In this ...
Empirical site classification of CSN network using strong-motion records
(Seismological Society of America, 2018)
The National Seismological Center of the University of Chile (CSN, Centro Sismologico Nacional) has been operating more than 400 seismic stations throughout the country. The data collected from this network, from March ...
Automatic spectral classification of stellar spectra with low signal-to-noise ratio using artificial neural networks
(2012)
Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebulae, spectra of a few thousand stars were analyzed to determine their spectral type and luminosity class. Aims. We present ...
Automatic spectral classification of stellar spectra with low signal-to-noise ratio using artificial neural networks
(2012)
Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebulae, spectra of a few thousand stars were analyzed to determine their spectral type and luminosity class. Aims. We present ...