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software package v. 9  (SYSTAT)


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    SYSTAT software package v. 9
    Software Package V. 9, supplied by SYSTAT, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/software+package+v%2E+9/software+package+version+9/pmc09295973-133-9-8
    Average 90 stars, based on 1 article reviews
    software package v. 9 - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Effects of pre- and postnatal exposure to the UV-filter octyl methoxycinnamate (OMC) on the reproductive, auditory and neurological development of rat offspring.
    Article Snippet: Contents lists available at ScienceDirect Toxicology and Applied Pharmacology j ourna l homepage: www.e lsev ie r.com/ locate /ytaap Effects of pre- and postnatal exposure to the UV-filter Octyl Methoxycinnamate (OMC) on the reproductive, auditory and neurological development of rat offspring Marta Axelstad a,⁎, Julie Boberg a, Karin Sørig Hougaard b, Sofie Christiansen a, Pernille Rosenskjold Jacobsen a, Karen Riiber Mandrup a, Christine Nellemann a, Søren Peter Lund b, Ulla Hass a a Division of Toxicology and Risk Assessment, National Food Institute, Technical University of Denmark, Mørkhøj Bygade 19, DK-2860 Søborg, Denmark b National Research Centre for the Working Environment, Lersø Parkallé 105, DK-2100, Copenhagen Ø, Denmark ⁎ Corresponding author.. Fax: +45 35 88 70 01.. E-mail address: maap@food.dtu.dk (M. Axelstad).

    Article Title: Toluene depresses plasma corticosterone in pregnant rats.
    Article Snippet: Values in the same row not showing a common superscript (a, b) are significantly different, 0.001 P 0.05 (post hoc, Fisher’s Least Significant Difference test) (SYSTAT Software Package v. 9). is in accordance with our own previous observations of lower birth weight after prenatal exposure to 1200 respectively 1800 ppm toluene (Hass et al. 1999; Hougaard et al. 1999), and reduced birth weights have been reported at dose levels as low as 1000 ppm (Ono et al. 1995; Thiel & Chahoud 1997).




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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture <t>(AMIX)</t> v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.
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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture <t>(AMIX)</t> v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.
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    Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture (AMIX) v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.

    Journal: Scientific reports

    Article Title: Leaf tissue metabolomics fingerprinting of Citronella gongonha Mart. by 1 H HR-MAS NMR.

    doi: 10.1038/s41598-022-22708-w

    Figure Lengend Snippet: Figure 4. PCA over the 1H HR-MAS NMR fingerprints representing seasonal influence for major metabolites. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture (AMIX) v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnm ac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp.org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid-Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O-methylmorroniside; 8, (7β)-7- O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.

    Article Snippet: The data was preprocessed in the analysis of mixture (AMIX) v. 3.9.12 software package (Bruker BioSpin).

    Techniques: Software, Produced

    Figure 5. Stacked spectra of 1H HR-MAS NMR exhibiting peaks of the discriminatory metabolites in comparison with PCA. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture (AMIX) v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnmac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp. org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid- Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O- methylmorroniside; 8, (7β)-7-O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.

    Journal: Scientific reports

    Article Title: Leaf tissue metabolomics fingerprinting of Citronella gongonha Mart. by 1 H HR-MAS NMR.

    doi: 10.1038/s41598-022-22708-w

    Figure Lengend Snippet: Figure 5. Stacked spectra of 1H HR-MAS NMR exhibiting peaks of the discriminatory metabolites in comparison with PCA. NMR data were processed in TopSpin v3.6.3 software package and preprocessed in analysis of mixture (AMIX) v3.9.12 software package (Bruker BioSpin: https://www.bruker.com), PCA analysis was performed in the MetaboAnalyst v5.0 (https://www.metaboanalyst.ca/). Representations for discriminatory metabolites indicating main variables in the loading plot were manually produced in Microsoft PowerPoint v16.56 (https://officecdnmac.microsoft.com), and the GIMP v2.10.24 software package (https://www.gimp. org) was used for final figure generation. PCA group legends: Br-April (Autumn), the month of April is mid- Autumn in Brazil; Br-Oct (Spring), October is early Spring in Brazil; Br-Dec (Autumn), the month of December is late-Spring in Brazil. Loading variables and metabolites: 1, kaempferol-3-O-dihexoside; 2, caffeoyl glucoside; 3, 3-O-caffeoylquinic acid; 4, 5-O-caffeoylquinic acid; 5, kingiside; 6, 8-epi-kingisidic acid; 7, (7α)-7-O- methylmorroniside; 8, (7β)-7-O-methylmorroniside; 9, alpigenoside; 14, fatty (linolenic) acid.

    Article Snippet: The data was preprocessed in the analysis of mixture (AMIX) v. 3.9.12 software package (Bruker BioSpin).

    Techniques: Comparison, Software, Produced