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Showing 21 - 40 results of 793 for search '(( using ((text decrease) OR (teer decrease)) ) OR ( a ((latest decrease) OR (largest decrease)) ))', query time: 0.39s Refine Results
  1. 21
    Clade body sizes using log transformed mean adult size to represent each turritellid and tegulid species’ size, and typical size to represent the size of each species belonging to Conidae (see Kohn [74] and supplemental text (S1 Text) for additional information on this methodology).

    Clade body sizes using log transformed mean adult size to represent each turritellid and tegulid species’ size, and typical size to represent the size of each species belonging to... by Brendan M. Anderson (11234356)

    Published 2024
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  2. 22
    GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo.

    GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

    Published 2025
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  3. 23
    Excel file containing source data for Figs 1–4, 6, B and C in S1 Text.

    Excel file containing source data for Figs 1–4, 6, B and C in S1 Text. by Sarah E. Copeland (13951506)

    Published 2024
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  4. 24
    GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent regions.

    GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

    Published 2025
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  5. 25
    Main oral cancer locations of hospital readmitted cases and their distributions by genders (percentages as percentages of all readmissions mentioned in the text).

    Main oral cancer locations of hospital readmitted cases and their distributions by genders (percentages as percentages of all readmissions mentioned in the text). by Amr Sayed Ghanem (18405517)

    Published 2025
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  6. 26
    Static obstacle avoidance trajectory analysis (for specific trajectory point data, please refer to the attachment ‘S1 Table.xlsx’. For detailed descriptions of the data, please see ‘S1 Text.docx’).

    Static obstacle avoidance trajectory analysis (for specific trajectory point data, please refer to the attachment ‘S1 Table.xlsx’. For detailed descriptions of the data, please see... by Long Di (9977453)

    Published 2025
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  7. 27
    Obstacle avoidance trajectory generation process based on DMP (for specific trajectory point data, please refer to the attachment ‘S5 Table.xlsx’. For detailed descriptions of the data, please see ‘S1 Text.docx’).

    Obstacle avoidance trajectory generation process based on DMP (for specific trajectory point data, please refer to the attachment ‘S5 Table.xlsx’. For detailed descriptions of the... by Long Di (9977453)

    Published 2025
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  8. 28
    Obstacle avoidance trajectory generation process based on the method in this paper (for specific trajectory point data, please refer to the attachment ‘S3 Table.xlsx’. For detailed descriptions of the data, please see ‘S1 Text.docx’).

    Obstacle avoidance trajectory generation process based on the method in this paper (for specific trajectory point data, please refer to the attachment ‘S3 Table.xlsx’. For detailed... by Long Di (9977453)

    Published 2025
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  9. 29
    Obstacle avoidance trajectory generation process based on iAPF (for specific trajectory point data, please refer to the attachment ‘S4 Table.xlsx’. For detailed descriptions of the data, please see ‘S1 Text.docx’).

    Obstacle avoidance trajectory generation process based on iAPF (for specific trajectory point data, please refer to the attachment ‘S4 Table.xlsx’. For detailed descriptions of the... by Long Di (9977453)

    Published 2025
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  10. 30
    Methodology used in this study analyzes enriched networks.

    Methodology used in this study analyzes enriched networks. by Diego R. Amancio (16020875)

    Published 2025
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  11. 31
    Alcohol-related monthly crude rates between 2018 and 2024, stratified by gender, age and cause of death.

    Alcohol-related monthly crude rates between 2018 and 2024, stratified by gender, age and cause of death. by Tony Wong (779773)

    Published 2025
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  12. 32
    Innovation, nightlights and a continuous measure of city size.

    Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

    Published 2024
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  13. 33
    Alcohol-related monthly crude rates for ages 15 and older between 2018 and 2024, stratified by gender and race.

    Alcohol-related monthly crude rates for ages 15 and older between 2018 and 2024, stratified by gender and race. by Tony Wong (779773)

    Published 2025
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  14. 34
    Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state.

    Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state. by Tony Wong (779773)

    Published 2025
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  15. 35
    Selection frequencies plotted in decreasing order.

    Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

    Published 2025
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  16. 36
    Obstacle avoidance trajectories and corresponding tracking errors in complex motion scenarios with obstacles (for specific trajectory point data, please refer to the attachment ‘S6 Table.xlsx’. For detailed descriptions of the data, please see ‘S1 Text.docx’).

    Obstacle avoidance trajectories and corresponding tracking errors in complex motion scenarios with obstacles (for specific trajectory point data, please refer to the attachment ‘S6... by Long Di (9977453)

    Published 2025
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  17. 37
    Obstacle avoidance trajectories and corresponding tracking errors in obstacle accelerated motion scenarios (for specific trajectory point data, please refer to the attachment ‘S7 Table.xlsx’. For detailed descriptions of the data, please see ‘S1 Text.docx’).

    Obstacle avoidance trajectories and corresponding tracking errors in obstacle accelerated motion scenarios (for specific trajectory point data, please refer to the attachment ‘S7 T... by Long Di (9977453)

    Published 2025
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  18. 38
    Obstacle avoidance trajectories and corresponding tracking errors in obstacle deceleration motion scenarios (for specific trajectory point data, please refer to the attachment ‘S7 Table.xlsx’. For detailed descriptions of the data, please see ‘S1 Text.docx’).

    Obstacle avoidance trajectories and corresponding tracking errors in obstacle deceleration motion scenarios (for specific trajectory point data, please refer to the attachment ‘S7... by Long Di (9977453)

    Published 2025
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  19. 39
    Obstacle avoidance trajectories and corresponding tracking errors for obstacle uniform linear motion scenarios (for specific trajectory point data, please refer to the attachment ‘S2 Table.xlsx’. For detailed descriptions of the data, please see ‘S1 Text.docx’).

    Obstacle avoidance trajectories and corresponding tracking errors for obstacle uniform linear motion scenarios (for specific trajectory point data, please refer to the attachment ‘... by Long Di (9977453)

    Published 2025
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  20. 40
    The <i>constant, dense sampling</i> analog to Fig 1 in the main text.

    The <i>constant, dense sampling</i> analog to Fig 1 in the main text. by Vivaswat Shastry (18176036)

    Published 2025
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