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  • 1
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    A taxonomic revision of Trigonostemon (Euphorbiaceae) in Malesia (2018)
    In:  Blumea - Biodiversity, Evolution and Biogeography of Plants (2212-1676) vol.62 (2018) p.179
    Details
    Publication Date: 2018-02-06
    Description: Trigonostemon is taxonomically revised for Malesia based on herbarium collections and field observations. Thirty-eight species are recognized in Malesia, of which four of uncertain status and four newly described. The previous infrageneric classifications are briefly reviewed, but none is accepted. Some useful characters are discussed. An identification key, nomenclature, descriptions, typification, geographic distributions and taxonomic notes are provided.
    Keywords: Euphorbiaceae ; Malesia ; morphological revision ; taxonomy ; Trigonostemon
    Repository Name: National Museum of Natural History, Netherlands
    Type: Article / Letter to the editor
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  • 2
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    A monograph of the plant genus Trigonostemon Blume (2019)
    Details
    Publication Date: 2024-01-12
    Description: Trigonostemon Blume is a plant genus in the family Euphorbiaceae comprising 59 species. These plants are small trees or shrubs growing in the lowland rainforests in Southeast Asia and adjacent areas. The small unisexual flowers with colourful petals and the 3 or 5 united stamens are typical characters of the genus. The present thesis studies four aspects of the genus: the taxonomy, pollen morphology, molecular phylogeny and historical biogeography. \n \nThe species delimitation has been optimised in the taxonomic revisions and the species complexes can now be clearly recognised by morphological characters. Palynological studies reveal strong correlations between pollen and macromorphology in Trigonostemon and these support the infrageneric classification of the genus. Molecular phylogenetic analyses have demonstrated that Trigonostemon and Dimorphocalyx Thwaites are two monophyletic groups and are not closely related, although they are similar in morphology. Furthermore, Trigonostemon is divided into four sections based on molecular and (pollen) morphological data. Finally, the thesis concludes with the historical biogeography of Trigonostemon: it probably originated on Southeast Asian mainland, one lineage later radiated to the Malay Peninsula, and dispersed further eastwards and diversified before the genus reached its current distribution.
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/doctoralThesis
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  • 3
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    A taxonomic revision of Trigonostemon (Euphorbiaceae) outside Malesia (2020)
    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 65 no. 1, pp. 25-52
    Details
    Publication Date: 2024-01-12
    Description: The Trigonostemon species outside Malesia are taxonomically revised based on herbarium collections \nand fresh material. The research history in the concerning regions, i.e., the Indian subcontinent (including S India, \nSri Lanka, Bangladesh and Myanmar), China, Thailand, Indochina, NE Australia and New Caledonia, is briefly \nsummarised. A total of 32 species are accepted (including one doubtful species) and 17 names are newly treated \nas synonyms. Trigonostemon montanus is newly described for India. Regional identification keys, nomenclature, \ndescriptions, geographic distributions and taxonomic notes are provided. Together with our previous work, the \ngenus is now fully revised. A total of 59 species are accepted. A full identification list of all Trigonostemon collections seen is presented.
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics ; Euphorbiaceae ; identification ; morphological revision ; non-Malesian ; taxonomy ; Trigonostemon
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 4
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    Taxonomic notes on Trigonostemon (Euphorbiaceae) in the Philippines (2020)
    Naturalis Biodiversity Center
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 65 no. 1, pp. 12-24
    Details
    Publication Date: 2024-01-12
    Description: Descriptions of five Trigonostemon species in the Philippines (four endemic) are updated with taxonomic \nnotes based on herbarium collections and field observations. A new species of Trigonostemon is described. All \nspecies treated here are illustrated with photos. The formerly uncertain species, T. stenophyllus, is now synonymized \nwith T. filiformis. In addition to T. pentandrus, three more Trigonostemon species are reported to cohabit with ants. \nA new identification key and an updated identification list of Trigonostemon species in the Philippines are provided.
    Keywords: Plant Science ; Ecology ; Evolution ; Behavior and Systematics ; Euphorbiaceae ; Philippines ; revision ; taxonomy ; Trigonostemon
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 5
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    A taxonomic revision of Trigonostemon (Euphorbiaceae) in Malesia (2018)
    In:  Blumea: Biodiversity, Evolution and Biogeography of Plants vol. 62, pp. 179-229
    Details
    Publication Date: 2024-01-12
    Description: Trigonostemon is taxonomically revised for Malesia based on herbarium collections and field observations. Thirty-eight species are recognized in Malesia, of which four of uncertain status and four newly described. The previous infrageneric classifications are briefly reviewed, but none is accepted. Some useful characters are discussed. An identification key, nomenclature, descriptions, typification, geographic distributions and taxonomic notes are provided.
    Keywords: Euphorbiaceae ; Malesia ; morphological revision ; taxonomy ; Trigonostemon
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 6
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    Sustainable management of river oases along the Tarim River (SuMaRiO) in Northwest China under conditions of climate change (2015)
    In:  Earth System Dynamics
    Details
    Publication Date: 2020-02-12
    Type: info:eu-repo/semantics/article
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  • 7
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    Estimating the thermal conductivity of plutonic rocks from major oxide composition using machine learning (2023)
    In:  Geophysical Journal International
    Details
    Publication Date: 2023-08-25
    Description: The accurate estimation of temperature distribution in the earth's crust and modelling of heat-related processes in geodynamics requires knowledge of the thermal conductivity of plutonic rocks. This study compiled an extensive data set of 530 representative plutonic rock samples, including thermal conductivity, major oxide composition and (for two subsets of data) modal mineralogy. For the first time, three machine learning algorithms (ML; i.e. support vector regression, random forest and extreme gradient boosting) were employed to estimate the thermal conductivity of plutonic rocks using the major oxide composition feature as input variables. The performance of these ML-based models was evaluated against a geochemically compositional model and eight mineral-driven physically based empirical mixing models. Results show that the means of predicted thermal conductivity by the ML-based models and the geochemically compositional model are not significantly different from the measured thermal conductivity at a significance level of 5 per cent. However, the ML-based models outperformed the best-performing non-ML model, the geochemically compositional model. The highest prediction accuracy was achieved by extreme gradient boosting, which reduced the mean absolute percentage error and root mean square error by more than 50 per cent. Furthermore, SiO2 is confirmed as the most important independent variable, followed by Al2O3, TiO2, CaO and K2O. The turning point observed in the thermal conductivity trend with SiO2 wt per cent may be primarily attributed to variations in mineral composition within the subgroup of igneous rock types classified based on SiO2 wt per cent. This study explores, for the first time, the use of ML algorithms to estimate the thermal conductivity of plutonic rocks from their major oxide composition.
    Type: info:eu-repo/semantics/article
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  • 8
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    Estimating the thermal conductivity of plutonic rocks from major oxide composition using data-driven machine learning (2023)
    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Details
    Publication Date: 2023-12-11
    Description: The thermal conductivity of plutonic rocks is essential to accurately estimate the temperature distribution in the earth’s crust and to model heat-related processes in geodynamics. This study compiled an extensive dataset of 530 representative plutonic rock samples, containing thermal conductivity, major oxide composition and (for two subsets of data) modal mineralogy. Three data-driven machine learning algorithms (ML; i.e., support vector regression, random forest and extreme gradient boosting) are employed to estimate the thermal conductivity of plutonic rocks using the major oxide composition feature as input variables first time. The performance of such ML-based models is evaluated against a geochemically-compositional model and eight mineral-driven physically-based empirical mixing models. Results show that the means of predicted thermal conductivity by the ML-based models and the geochemically-compositional model are no actual difference from the measured thermal conductivity, with a significance level of 5%. However, the best performing non-ML model for estimating thermal conductivity, the geochemically-compositional model, is outperformed by the ML-based models. The highest prediction accuracy was achieved by extreme gradient boosting, which can reduce the mean absolute percentage error and root mean square error by more than 50%. Besides, SiO〈sub〉2〈/sub〉 is confirmed as the most important independent variable, followed by Al〈sub〉2〈/sub〉O〈sub〉3〈/sub〉, TiO〈sub〉2〈/sub〉, CaO, and K〈sub〉2〈/sub〉O. The present study explores, for the first time, the use of ML algorithms to estimate the thermal conductivity of plutonic rocks from their major oxide composition.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 9
    Electronic Resource
    Electronic Resource
    Structural analysis of a glycolipid head group with one- and two-state NMR pseudoenergy approaches (1986)
    s.l. : American Chemical Society
    Journal of the American Chemical Society 108 (1986), S. 6778-6784 
    Details
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ja00281a053
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  • 10
    Electronic Resource
    Electronic Resource
    Oxygen binding to myoglobins and their cobalt analogs (1979)
    s.l. : American Chemical Society
    Journal of the American Chemical Society 101 (1979), S. 7394-7397 
    Details
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/ja00518a044
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