Showing 1 - 20 results of 391 for search '(( significantly we decrease ) OR ( significantly small decrease ))~', query time: 0.46s Refine Results
  1. 1

    Supplementary Material for: Longitudinal Decrease in Left Ventricular Size with Age: Impact on Mortality and Cardiovascular Hospitalization by figshare admin karger (2628495)

    Published 2025
    “…Participants were categorized by LVEDD change from baseline: No Change (<5 mm), Decreased (≥5 mm), and Increased (≥5 mm). Results: A decrease in LVEDD was observed in 24% of participants (mean change -9±3 mm) and was significantly associated with older age, female sex, decreased volumes, concentric remodeling and diastolic dysfunction. …”
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    Flow chart. by Raphaele Houlbracq (20558509)

    Published 2025
    “…However, subgroup analyses revealed a significant rise in OASI among nulliparous women giving birth by spatula (Group 2b), and a clinically relevant but statistically nonsignificant rise among nulliparous women delivering by forceps (Group 2a), while the prevalence of episiotomy significantly decreased. …”
  4. 4

    Patient enrollment and inclusion information. by Ruitian Song (11045127)

    Published 2025
    “…During chemotherapy, PVS decreased significantly from 3M to 12M. Subsequently, from 12M to FollowUp, PVS increased again. …”
  5. 5

    <b>The loss of insulin-positive cell clusters precedes the decrease of islet frequency and beta cell area in type 1 diabetes</b> by Denise M. Drotar (21679539)

    Published 2025
    “…Moreover, changes in endocrine composition also occurred in mAAb+ donors, including a significant decrease in the INS+ islet fraction. These data suggest preferential loss of INS+ small endocrine objects early in type 1 diabetes development.…”
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    Flow chart of participants selection. by Linjia Duan (13276989)

    Published 2025
    “…Moreover, the risk of mortality significantly decreased with a greater number of cognitive activities. …”
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    Study-related adverse events. by Benjamin R. Lewis (22279166)

    Published 2025
    “…Study limitations that affect the generalizability of results include a small sample size, homogenous study population, and significant differences in intervention intensity.…”
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    Study flow chart. by Benjamin R. Lewis (22279166)

    Published 2025
    “…Study limitations that affect the generalizability of results include a small sample size, homogenous study population, and significant differences in intervention intensity.…”
  9. 9

    Study CONSORT diagram. by Benjamin R. Lewis (22279166)

    Published 2025
    “…Study limitations that affect the generalizability of results include a small sample size, homogenous study population, and significant differences in intervention intensity.…”
  10. 10

    RNA targets of Mod identified by RiP-Seq. by Amalia S. Parra (4173004)

    Published 2024
    “…Mod is expressed in larval brains and its loss leads to a significant decrease in the number of central brain NBs. …”
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    Rethinking the Role of AuNPs in Colorimetric Aptasensors: Dominant Nonspecific Interactions with Antibiotics over Aptamer Recognition by Zhuoer Chen (22671791)

    Published 2025
    “…Here, we investigated the interactions between 26 antibiotics and AuNPs, and found that all antibiotics except NFZ exhibited strong binding to AuNPs, leading to decreased salt stability. …”
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    Rethinking the Role of AuNPs in Colorimetric Aptasensors: Dominant Nonspecific Interactions with Antibiotics over Aptamer Recognition by Zhuoer Chen (22671791)

    Published 2025
    “…Here, we investigated the interactions between 26 antibiotics and AuNPs, and found that all antibiotics except NFZ exhibited strong binding to AuNPs, leading to decreased salt stability. …”
  13. 13

    Summary of previous work. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    YOLO11. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
  17. 17

    Comparative experimental results. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Algorithm operation steps. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
  19. 19

    SCI-YOLO11. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”
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    Dataset for insulator defect detection. by Junyan Wang (4738518)

    Published 2025
    “…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”