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Showing 181 - 200 results of 6,289 for search '(((( a large degree ) OR ( ct larger decrease ))) OR ( a greatest decrease ))', query time: 0.74s Refine Results
  1. 181
    Influence of a)HBMQ, b)HWLLE, and c) HWRR on unimproved water.

    Influence of a)HBMQ, b)HWLLE, and c) HWRR on unimproved water. by Jacob W. Mobolaji (22057405)

    Published 2025
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  2. 182
    Mean cross-recurrence of eyes and head as a function of cross-recurrence radius.

    Mean cross-recurrence of eyes and head as a function of cross-recurrence radius. by Walter F. Bischof (9211850)

    Published 2023
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  3. 183
    The upper left Fig a is the decay periods in the free decay simulation, the upper right Fig b is the metacentric height, the lower Fig c and d are the restoring moment in the roll and pitch degrees of freedom.

    The upper left Fig a is the decay periods in the free decay simulation, the upper right Fig b is the metacentric height, the lower Fig c and d are the restoring moment in the roll... by Huiyuan Zheng (12889196)

    Published 2025
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  4. 184
    Fitting a feast/famine cycle to a glycolysis model.

    Fitting a feast/famine cycle to a glycolysis model. by Paul van Lent (16876977)

    Published 2025
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  5. 185
    Mean number of infected (the sum of exposed and infectious) people as a function of time as the degree of inter-cohort connections is increased.

    Mean number of infected (the sum of exposed and infectious) people as a function of time as the degree of inter-cohort connections is increased. by John Whitman (8741529)

    Published 2020
    “…For a connection degree of 1, it is clear that a recurrence is present on average, as there are two peaks in the mean number which are clearly separated. …”
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  6. 186
    Machine Learning Predicts Degree of Aromaticity from Structural Fingerprints

    Machine Learning Predicts Degree of Aromaticity from Structural Fingerprints by David J. Ponting (1734100)

    Published 2020
    “…Building on this data, a method is proposed for machine learning the degree of aromaticity of each aromatic ring in a molecule. …”
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  7. 187
    The degree of known driver with the other genes in gene interaction subnetwork.

    The degree of known driver with the other genes in gene interaction subnetwork. by Naiqian Zhang (707868)

    Published 2024
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  8. 188
    Climate Change Pressures Growing Degree Days (Map Service)

    Climate Change Pressures Growing Degree Days (Map Service) by U.S. Forest Service (17476914)

    Published 2024
    “…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/documents/usfs::climate-change-pressures-growing-degree-days-map-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://usfs.maps.arcgis.com/home/item.html?…”
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  9. 189
    HCV report type use by user degree (n = 105).

    HCV report type use by user degree (n = 105). by Vera Yakovchenko (6566420)

    Published 2023
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  10. 190
    The positions of LUSC and LUAD tumors in the clustering diagram in Fig 2A.

    The positions of LUSC and LUAD tumors in the clustering diagram in Fig 2A. by Artem Baranovsky (12568587)

    Published 2022
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  11. 191
    The relationships between unimproved water and a) HBMWQ-HWRR and b) HWLLE-HWRR.

    The relationships between unimproved water and a) HBMWQ-HWRR and b) HWLLE-HWRR. by Jacob W. Mobolaji (22057405)

    Published 2025
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  12. 192
    Strains and relevant genotypes for <i>C</i>. <i>glabrata</i> cells used in this study.

    Strains and relevant genotypes for <i>C</i>. <i>glabrata</i> cells used in this study. by Bao Gia Vu (11507192)

    Published 2021
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  13. 193
    Characterization of <i>UPC2A</i> gain-of-function allele.

    Characterization of <i>UPC2A</i> gain-of-function allele. by Bao Gia Vu (11507192)

    Published 2021
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  14. 194
    Genes induced by log2 of 0.5 or greater in the presence of the G898D <i>UPC2A</i>.

    Genes induced by log2 of 0.5 or greater in the presence of the G898D <i>UPC2A</i>. by Bao Gia Vu (11507192)

    Published 2021
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  15. 195
    Chromatin immunoprecipitation-high throughput sequencing (ChIP-seq) analysis of <i>UPC2A</i>.

    Chromatin immunoprecipitation-high throughput sequencing (ChIP-seq) analysis of <i>UPC2A</i>. by Bao Gia Vu (11507192)

    Published 2021
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  16. 196
    DNA-binding of Upc2A to SREs in target genes.

    DNA-binding of Upc2A to SREs in target genes. by Bao Gia Vu (11507192)

    Published 2021
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  17. 197
    Expression of genes bound by Upc2A in the presence of fluconazole.

    Expression of genes bound by Upc2A in the presence of fluconazole. by Bao Gia Vu (11507192)

    Published 2021
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  18. 198
    Upc2A transcriptionally regulates <i>FKS1</i> expression.

    Upc2A transcriptionally regulates <i>FKS1</i> expression. by Bao Gia Vu (11507192)

    Published 2021
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  19. 199
    Phenotypes of SRE mutations.

    Phenotypes of SRE mutations. by Bao Gia Vu (11507192)

    Published 2021
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  20. 200
    Primers used in this study.

    Primers used in this study. by Bao Gia Vu (11507192)

    Published 2021
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