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Showing 1 - 20 results of 157 for search '(( tracking observed decrease ) OR ( ct ((largest decrease) OR (marked decrease)) ))', query time: 0.41s Refine Results
  1. 1
    Shuffling identity decreases behavior trajectory uniqueness.

    Shuffling identity decreases behavior trajectory uniqueness. by Catalin Mitelut (5587493)

    Published 2025
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  2. 2
    Sample Size for QoL tracking study for young people aged 18 to 24 in Gauteng, 2016 - 2024.

    Sample Size for QoL tracking study for young people aged 18 to 24 in Gauteng, 2016 - 2024. by Edmore Marinda (286299)

    Published 2025
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  3. 3
    Single-cell barcoding allows tracking cell lineages with space and time.

    Single-cell barcoding allows tracking cell lineages with space and time. by Nava Leibovich (12908477)

    Published 2025
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  4. 4
    Boxplot comparing Ct values for HD in flies and clothes.

    Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

    Published 2025
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  5. 5
    S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism.

    S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

    Published 2025
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  6. 6
    Skin marks is the S1 Fig title.

    Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

    Published 2024
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  7. 7
    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging

    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…Nonquantifiable increases in ABY-029 fluorescence in tumor and muscle were observed after <i>in vivo</i> blocking, while PAI produced the expected decrease in RA. …”
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  8. 8
    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging

    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…Nonquantifiable increases in ABY-029 fluorescence in tumor and muscle were observed after <i>in vivo</i> blocking, while PAI produced the expected decrease in RA. …”
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  9. 9
    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging

    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…Nonquantifiable increases in ABY-029 fluorescence in tumor and muscle were observed after <i>in vivo</i> blocking, while PAI produced the expected decrease in RA. …”
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  10. 10
    Qualitative summary of trends observed in this study, relating catchment size and viral prevalence to (a) the extent to which near-source wastewater surveillance revealed locally-specific events, and (b) the extent to which near-source wastewater surveillance matched and predicted national trends.

    Qualitative summary of trends observed in this study, relating catchment size and viral prevalence to (a) the extent to which near-source wastewater surveillance revealed locally-s... by Jay C. Bullen (10232606)

    Published 2025
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  11. 11
    Long-term changes in ABG parameters retrospectively tracked from the initiation of LTOT in the CRF group.

    Long-term changes in ABG parameters retrospectively tracked from the initiation of LTOT in the CRF group. by Kazuma Nagata (3400058)

    Published 2025
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  12. 12
    An graphical representation of the changing observation probabilities as the number of daily underlying primary infections increases.

    An graphical representation of the changing observation probabilities as the number of daily underlying primary infections increases. by Belinda Lombard (20496382)

    Published 2025
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  13. 13
    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels

    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels by Thijs Roebroek (21081066)

    Published 2025
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  14. 14
    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels

    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels by Thijs Roebroek (21081066)

    Published 2025
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  15. 15
    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels

    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels by Thijs Roebroek (21081066)

    Published 2025
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  16. 16
    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels

    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels by Thijs Roebroek (21081066)

    Published 2025
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  17. 17
    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels

    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels by Thijs Roebroek (21081066)

    Published 2025
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  18. 18
    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels

    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels by Thijs Roebroek (21081066)

    Published 2025
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  19. 19
    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels

    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels by Thijs Roebroek (21081066)

    Published 2025
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  20. 20
    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels

    Continuous, Label-Free Phenotyping of Single Cells Based on Antibody Interaction Profiling in Microfluidic Channels by Thijs Roebroek (21081066)

    Published 2025
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