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Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3218
Abstract: The instrument COSIMA (COmetary Secondary Ion Mass Analyzer) onboard of the European Space Agency mission Rosetta collected and analyzed dust particles in the neighborhood of comet 67P/Churyumov‐Gerasimenko. The chemical composition of the particle surfaces was…
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Keywords:
two periods;
collected two;
spectral data;
mass ... See more keywords
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Published in 2017 at "Environmental toxicology and chemistry"
DOI: 10.1002/etc.3578
Abstract: The estrogenic potential (expressed as a score composite of 18 high throughput screening bioassays) of 1528 compounds from the ToxCast database was modeled by a 3-dimensional spectral data activity relationship approach (3D-SDAR). Due to a…
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Keywords:
spectral data;
activity relationship;
data activity;
dimensional spectral ... See more keywords
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Published in 2021 at "Journal of High Energy Physics"
DOI: 10.1007/jhep11(2021)131
Abstract: Abstract The Yukawa textures of effective heterotic models are studied by using singular spectral data. One advantage of this approach is that it is possible to dissect the cohomologies of the bundles into smaller parts…
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Keywords:
singular spectral;
textures singular;
yukawa textures;
spectral data ... See more keywords
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Published in 2017 at "Chemistry of Natural Compounds"
DOI: 10.1007/s10600-017-2050-z
Abstract: English lavender (Lavandula angustifolia, Labiatae) is indigenous to the Mediterranean region. The first mention of lavender is found in Avicenna’s Canon of Medical Science. The plant is widely used in traditional Uyghur medicine. Currently, lavender…
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Keywords:
data agreed;
spectral data;
agreed published;
chemistry ... See more keywords
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Published in 2019 at "Journal of Forestry Research"
DOI: 10.1007/s11676-019-01052-2
Abstract: A transfer learning system was designed to predict Xylosma racemosum compression strength. Near-infrared (NIR) spectral data for Acer mono and its compression strength values were used to resolve the weak generalization problem caused by using…
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Keywords:
transfer learning;
spectral data;
learning system;
racemosum ... See more keywords
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Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.09.006
Abstract: Abstract Mass spectral data exhibit a small number of signals (true peaks) among many noisy observations (signals or true peaks) in a high-dimensional space. This unique aspect of mass spectral data necessitates solving the problem…
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Keywords:
spectral data;
false discovery;
procedure;
two dimensional ... See more keywords
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Published in 2021 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2021.131023
Abstract: Solid-state 13C Nuclear Magnetic Resonance (NMR) and synchrotron-based X-ray Absorption Near-Edge Structure (XANES) have applications for determining the relative proportions of organic C functional groups in materials. Spectral data obtained by NMR is typically processed…
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Keywords:
data collection;
functional groups;
spectral data;
collection processing ... See more keywords
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Published in 2018 at "Free Radical Biology and Medicine"
DOI: 10.1016/j.freeradbiomed.2018.10.097
Abstract: An efficient method for mass spectral data analyses and visualization of sulfur speciation in the reaction between S- nitroso glutathione (GSNO) and hydrogen sulfide (H2S) based on Kendrick mass defect (KMD) methodology is described. KMD…
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Keywords:
spectral data;
gsno h2s;
mass;
kendrick mass ... See more keywords
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Published in 2018 at "Optik"
DOI: 10.1016/j.ijleo.2018.02.095
Abstract: Abstract In this article, we apply a complete diagonalization (of energy matrix) method to simultaneously calculate the spin-Hamiltonian (or EPR) parameters (g factors g//, g⊥ and zero-field splitting D) and optical band positions (or crystal…
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Keywords:
spectral data;
optical spectral;
unified research;
research epr ... See more keywords
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Published in 2018 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2018.09.018
Abstract: Abstract Automatic classification of the plants is growing area of association with computer science and Botany, it has attracted many researchers to subsidize plant classification using image processing and machine learning techniques. Plants can be…
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Keywords:
spectral data;
classification;
plant;
feature fusion ... See more keywords
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Published in 2020 at "Microchemical Journal"
DOI: 10.1016/j.microc.2019.104275
Abstract: Abstract In recent years many efforts have been made to overcome the conventional soil fertility analysis limitations contributing to the improvement of precision agriculture. Energy dispersive X-ray fluorescence (EDXRF) is one of the methodologies proposed…
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Keywords:
edxrf spectral;
spectral data;
soil fertility;
fertility indicators ... See more keywords