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Showing 61 - 80 results of 179,339 for search '(( significant use based ) OR ( significant ((((we decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 3.23s Refine Results
  1. 61
    LSPC treatment decreases neuropathology in prion-infected mice.

    LSPC treatment decreases neuropathology in prion-infected mice. by Heather Bender (363996)

    Published 2019
    “…<p>Immunohistochemistry (IHC) of brain sections through the (A) cerebellum and (B) hippocampus in infected and uninfected mice reveal that (A) while we observed no difference in cerebellar PrP<sup>Res</sup> accumulation among infected untreated, non-responder or responder mice, both GFAP stain intensity, a measure of astrogliosis, and vacuolation, a hallmark of prion-mediated neurodegeneration, were significantly decreased in LSPC responder mice. …”
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  2. 62
    Results of NDVI trend analysis and significant test in Northeast China from 2001 to 2020.

    Results of NDVI trend analysis and significant test in Northeast China from 2001 to 2020. by Guofang Tao (12368729)

    Published 2022
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  3. 63
    Cat Stress Score (CSS) was significantly predicted by intake type and days in the study.

    Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. by Allison Andrukonis (11846404)

    Published 2025
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  4. 64
    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves

    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

    Published 2021
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  5. 65
    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves

    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

    Published 2021
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  6. 66
    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves

    Bioinspired <i>In Vitro</i> Brain Vasculature Model for Nanomedicine Testing Based on Decellularized Spinach Leaves by Aleksandra L. Predeina (11741029)

    Published 2021
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  7. 67
    Table_2_Tyrosine as a Mechanistic-Based Biomarker for Brain Glycogen Decrease and Supercompensation With Endurance Exercise in Rats: A Metabolomics Study of Plasma.xlsx

    Table_2_Tyrosine as a Mechanistic-Based Biomarker for Brain Glycogen Decrease and Supercompensation With Endurance Exercise in Rats: A Metabolomics Study of Plasma.xlsx by Takashi Matsui (752618)

    Published 2019
    “…To test this hypothesis, we used a rat model of endurance exercise, a microwave irradiation for accurate detection of glycogen in the brain (the cortex, hippocampus, and hypothalamus), and capillary electrophoresis mass spectrometry–based metabolomics to observe the comprehensive metabolic profile of the blood. …”
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  8. 68
    Table_1_Tyrosine as a Mechanistic-Based Biomarker for Brain Glycogen Decrease and Supercompensation With Endurance Exercise in Rats: A Metabolomics Study of Plasma.pdf

    Table_1_Tyrosine as a Mechanistic-Based Biomarker for Brain Glycogen Decrease and Supercompensation With Endurance Exercise in Rats: A Metabolomics Study of Plasma.pdf by Takashi Matsui (752618)

    Published 2019
    “…To test this hypothesis, we used a rat model of endurance exercise, a microwave irradiation for accurate detection of glycogen in the brain (the cortex, hippocampus, and hypothalamus), and capillary electrophoresis mass spectrometry–based metabolomics to observe the comprehensive metabolic profile of the blood. …”
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  9. 69
    Estimated coefficients based on the selected model in Table 4.

    Estimated coefficients based on the selected model in Table 4. by Luis Alberiko Gil-Alana (14659817)

    Published 2024
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  10. 70
    Estimated coefficients based on the selected model in Table 3.

    Estimated coefficients based on the selected model in Table 3. by Luis Alberiko Gil-Alana (14659817)

    Published 2024
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  11. 71
    Data Sheet 1_A synonymous mutation of rs1137070 cause the mice Maoa gene transcription and translation to decrease.pdf

    Data Sheet 1_A synonymous mutation of rs1137070 cause the mice Maoa gene transcription and translation to decrease.pdf by Kai Xin Li (19696741)

    Published 2024
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  12. 72
    Image_1_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.TIF

    Image_1_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.TIF by Tomohiro Takano (9227690)

    Published 2020
    “…We further investigated the MLN DCs, and a significant decrease in RALDH2 gene expression was observed in MLN DCs from aged mice. …”
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  13. 73
    Image_5_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.TIF

    Image_5_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.TIF by Tomohiro Takano (9227690)

    Published 2020
    “…We further investigated the MLN DCs, and a significant decrease in RALDH2 gene expression was observed in MLN DCs from aged mice. …”
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  14. 74
    Image_3_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.tif

    Image_3_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.tif by Tomohiro Takano (9227690)

    Published 2020
    “…We further investigated the MLN DCs, and a significant decrease in RALDH2 gene expression was observed in MLN DCs from aged mice. …”
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  15. 75
    Image_6_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.TIF

    Image_6_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.TIF by Tomohiro Takano (9227690)

    Published 2020
    “…We further investigated the MLN DCs, and a significant decrease in RALDH2 gene expression was observed in MLN DCs from aged mice. …”
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  16. 76
    Image_2_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.TIF

    Image_2_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.TIF by Tomohiro Takano (9227690)

    Published 2020
    “…We further investigated the MLN DCs, and a significant decrease in RALDH2 gene expression was observed in MLN DCs from aged mice. …”
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  17. 77
    Image_4_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.tif

    Image_4_Age-Dependent Decrease in the Induction of Regulatory T Cells Is Associated With Decreased Expression of RALDH2 in Mesenteric Lymph Node Dendritic Cells.tif by Tomohiro Takano (9227690)

    Published 2020
    “…We further investigated the MLN DCs, and a significant decrease in RALDH2 gene expression was observed in MLN DCs from aged mice. …”
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  18. 78
    The significance of predictor variables from the randomised (100) Poisson GLM models for distant trap groups.

    The significance of predictor variables from the randomised (100) Poisson GLM models for distant trap groups. by Stella Gachoki (16024540)

    Published 2023
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  19. 79
    Tissue-specific profiling of the photoreceptor nuclear transcriptome reveals significant changes in early and late aging.

    Tissue-specific profiling of the photoreceptor nuclear transcriptome reveals significant changes in early and late aging. by Juan Jauregui-Lozano (12024868)

    Published 2022
    “…Z-scores are calculated based on normalized counts obtained using DESeq2, and the heatmap is divided into five clusters based on the dendrogram. …”
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  20. 80
    The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases.

    The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

    Published 2022
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