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gift software  (Anton Paar)

 
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    Anton Paar gift software
    Gift Software, supplied by Anton Paar, 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/gift+software/gift+software/10__1016_slash_j__foodhyd__2024__110675-87-4-0
    Average 90 stars, based on 1 article reviews
    gift software - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Citrus flavonoid-pectin conjugates with enhanced emulsifying properties
    Article Snippet: Pectin and flavonoids are important components of citrus fruits, but the effects of flavonoid grafting on the emulsifying properties of citrus pectin remain unclear.. In this study, a novel natural citrus flavonoid-pectin conjugate in citrus peel was identified through alkaline hydrolysis combined with ultra-high performance liquid chromatography.. Subsequently, two major citrus flavonoids were enzymatically conjugated to citrus pectin at high grafting rates (hesperidin: 20.21%; naringin dihydrochalcone: 16.11%).

    Software:

    Article Title: Structure characterization and gelling properties of RG-I-enriched pectins extracted from citrus peels using four different methods.
    Article Snippet: To facilitate the application of rhamnogalacturonan-I (RG-I)-enriched pectins (RGPs) as novel, healthy, and gelling food additives, this study compared the structural characteristics and gelling properties of RGPs extracted from citrus peel via four methods (alkali: AK, high-temperature/pressure: TP, citric acid: CA, and enzymeassisted: EA extractions).. AK and CA yielded pectins with the highest RG-I proportions (54.8 % and 51.9 %, respectively) by disrupting the homogalacturonan region; TP and EA increased the RG-I proportions by ~10 %.. Among the four methods, AK induced the lowest degree of esterification (DE) (6.7 %) and longer side chains that form strong entanglement, contributing to its highest gel hardness.

    Article Title: High brightness formamidinium lead bromide perovskite nanocrystal light emitting devices
    Article Snippet: Raw data processing (Integration and background subtraction) is performed using SAXSQuant software from Anton-Paar. .. The SAXS data is evaluated using an indirect Fourier transform (GIFT software from Anton-Paar) to obtain the pair distance distribution function (PDDF) p ( r ), which can be used to determine the overall size and shape of the dispersed perovskite nanocrystals. .. TEM images are recorded on JEOL 2100F advanced field emission microscope operating at 200 kV accelerating voltage.

    Article Title: The structure-property relationships of acid- and alkali-extracted grapefruit peel pectins.
    Article Snippet: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record.. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article.. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.



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    (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: <t>BOLD‐fMRI</t> scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.
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    Main networks (MNs) extracted by <t>group</t> <t>ICA</t> and averaged across all experimental trials. The ICA intensity (z‐map) ranged from 0 to 6.5 and represents the significant functional connectivity in each MN. All the MNs were overlaid on a co‐registered rat brain mask to aid structural identification. (A). Axial view of the selected MNs in the sham control rats of the frontal cortex network (FCN, including the orbital frontal and medial frontal cortex areas), hippocampal network (HPN, including the hippocampal and parahippocampal areas), thalamic network (THN, including the thalamus and hypothalamus areas), and the sensorimotor network (SMN, including primary and secondary motor cortex). (B). Similar MNs identified in the KA rats. (C). Unsupervised ROI extraction of the sub‐regions in RSFNs. The MNs (solid blue color) overlay to their sub‐regions as referred to in the rat brain atlas, where: C1. FCN overlays on cingulate cortex (green), prelimbic cortex (yellow), and retrosplenial cortex (red); C2. HPN overlays on dorsal (green) and ventral (yellow) hippocampus; C3. THN overlays on thalamus (green); and C4. SMN overlays on primary (yellow) and secondary (green) motor cortex. (D). The normalized area of coverage, which was computed by the percentage of the sub‐regions that were covered by the RSFNs. (E). Summary of all ROIs in the rat brain template.
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    Main networks (MNs) extracted by <t>group</t> <t>ICA</t> and averaged across all experimental trials. The ICA intensity (z‐map) ranged from 0 to 6.5 and represents the significant functional connectivity in each MN. All the MNs were overlaid on a co‐registered rat brain mask to aid structural identification. (A). Axial view of the selected MNs in the sham control rats of the frontal cortex network (FCN, including the orbital frontal and medial frontal cortex areas), hippocampal network (HPN, including the hippocampal and parahippocampal areas), thalamic network (THN, including the thalamus and hypothalamus areas), and the sensorimotor network (SMN, including primary and secondary motor cortex). (B). Similar MNs identified in the KA rats. (C). Unsupervised ROI extraction of the sub‐regions in RSFNs. The MNs (solid blue color) overlay to their sub‐regions as referred to in the rat brain atlas, where: C1. FCN overlays on cingulate cortex (green), prelimbic cortex (yellow), and retrosplenial cortex (red); C2. HPN overlays on dorsal (green) and ventral (yellow) hippocampus; C3. THN overlays on thalamus (green); and C4. SMN overlays on primary (yellow) and secondary (green) motor cortex. (D). The normalized area of coverage, which was computed by the percentage of the sub‐regions that were covered by the RSFNs. (E). Summary of all ROIs in the rat brain template.
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    Main networks (MNs) extracted by <t>group</t> <t>ICA</t> and averaged across all experimental trials. The ICA intensity (z‐map) ranged from 0 to 6.5 and represents the significant functional connectivity in each MN. All the MNs were overlaid on a co‐registered rat brain mask to aid structural identification. (A). Axial view of the selected MNs in the sham control rats of the frontal cortex network (FCN, including the orbital frontal and medial frontal cortex areas), hippocampal network (HPN, including the hippocampal and parahippocampal areas), thalamic network (THN, including the thalamus and hypothalamus areas), and the sensorimotor network (SMN, including primary and secondary motor cortex). (B). Similar MNs identified in the KA rats. (C). Unsupervised ROI extraction of the sub‐regions in RSFNs. The MNs (solid blue color) overlay to their sub‐regions as referred to in the rat brain atlas, where: C1. FCN overlays on cingulate cortex (green), prelimbic cortex (yellow), and retrosplenial cortex (red); C2. HPN overlays on dorsal (green) and ventral (yellow) hippocampus; C3. THN overlays on thalamus (green); and C4. SMN overlays on primary (yellow) and secondary (green) motor cortex. (D). The normalized area of coverage, which was computed by the percentage of the sub‐regions that were covered by the RSFNs. (E). Summary of all ROIs in the rat brain template.
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    Image Search Results


    (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD‐fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.

    Journal: Epilepsia Open

    Article Title: Intrinsic brain network stability during kainic acid‐induced epileptogenesis

    doi: 10.1002/epi4.70002

    Figure Lengend Snippet: (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD‐fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.

    Article Snippet: Group‐level BOLD‐fMRI data were analyzed using GICA in the Group ICA of FMRI Toolbox (GIFT) Matlab software to identify MNs during brain resting state.

    Techniques: Control

    Main networks (MNs) extracted by group ICA and averaged across all experimental trials. The ICA intensity (z‐map) ranged from 0 to 6.5 and represents the significant functional connectivity in each MN. All the MNs were overlaid on a co‐registered rat brain mask to aid structural identification. (A). Axial view of the selected MNs in the sham control rats of the frontal cortex network (FCN, including the orbital frontal and medial frontal cortex areas), hippocampal network (HPN, including the hippocampal and parahippocampal areas), thalamic network (THN, including the thalamus and hypothalamus areas), and the sensorimotor network (SMN, including primary and secondary motor cortex). (B). Similar MNs identified in the KA rats. (C). Unsupervised ROI extraction of the sub‐regions in RSFNs. The MNs (solid blue color) overlay to their sub‐regions as referred to in the rat brain atlas, where: C1. FCN overlays on cingulate cortex (green), prelimbic cortex (yellow), and retrosplenial cortex (red); C2. HPN overlays on dorsal (green) and ventral (yellow) hippocampus; C3. THN overlays on thalamus (green); and C4. SMN overlays on primary (yellow) and secondary (green) motor cortex. (D). The normalized area of coverage, which was computed by the percentage of the sub‐regions that were covered by the RSFNs. (E). Summary of all ROIs in the rat brain template.

    Journal: Epilepsia Open

    Article Title: Intrinsic brain network stability during kainic acid‐induced epileptogenesis

    doi: 10.1002/epi4.70002

    Figure Lengend Snippet: Main networks (MNs) extracted by group ICA and averaged across all experimental trials. The ICA intensity (z‐map) ranged from 0 to 6.5 and represents the significant functional connectivity in each MN. All the MNs were overlaid on a co‐registered rat brain mask to aid structural identification. (A). Axial view of the selected MNs in the sham control rats of the frontal cortex network (FCN, including the orbital frontal and medial frontal cortex areas), hippocampal network (HPN, including the hippocampal and parahippocampal areas), thalamic network (THN, including the thalamus and hypothalamus areas), and the sensorimotor network (SMN, including primary and secondary motor cortex). (B). Similar MNs identified in the KA rats. (C). Unsupervised ROI extraction of the sub‐regions in RSFNs. The MNs (solid blue color) overlay to their sub‐regions as referred to in the rat brain atlas, where: C1. FCN overlays on cingulate cortex (green), prelimbic cortex (yellow), and retrosplenial cortex (red); C2. HPN overlays on dorsal (green) and ventral (yellow) hippocampus; C3. THN overlays on thalamus (green); and C4. SMN overlays on primary (yellow) and secondary (green) motor cortex. (D). The normalized area of coverage, which was computed by the percentage of the sub‐regions that were covered by the RSFNs. (E). Summary of all ROIs in the rat brain template.

    Article Snippet: Group‐level BOLD‐fMRI data were analyzed using GICA in the Group ICA of FMRI Toolbox (GIFT) Matlab software to identify MNs during brain resting state.

    Techniques: Functional Assay, Control, Extraction