Showing 1,001 - 1,020 results of 5,979 for search '(( significant decrease decrease ) OR ( significantly we decrease ))~', query time: 0.22s Refine Results
  1. 1001

    Structure of Detect and GP-Detect. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”
  2. 1002

    YOLOv8 structure and working principle. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”
  3. 1003

    Improvement of CBS to CBR process. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”
  4. 1004

    EMA attention mechanism working principle. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”
  5. 1005

    Ablation study on the NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”
  6. 1006

    GSConv working principle. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”
  7. 1007

    PR comparison on NWPU VHR-10 dataset. by Pingping Yan (462509)

    Published 2025
    “…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”
  8. 1008

    Baseline clinical data. by Lu-Jin Cheng (21743350)

    Published 2025
    “…In vitro experiments showed that the addition of Gal-9 led to a significant increase in the proportion of TIM-3<sup>+</sup>M1 and TIM-3<sup>+</sup>M2 macrophages and a decrease in M1 cell proportions and M1/M2 ratio. …”
  9. 1009

    Parameters of VMR separated by light or dark periods run at 6 dpf. by Morgan Barnes (7876373)

    Published 2025
    “…(I-K) VMR parameters in dnVDRa induced zebrafish at 72 hpf. There is a significant decrease in distance moved (p < 0.05), a significant decrease in velocity the light period (p < 0.05) and a significant decrease in activity state in the light periods (p < 0.05) in the 72 + fish. …”
  10. 1010

    Visual motor response assay at 28 dpf. by Morgan Barnes (7876373)

    Published 2025
    “…There is a significant decrease in distance moved in the dark period (p < 0.05), a significant decrease in velocity in the dark (p < 0.05) and light (p < 0.01) periods, a significant decrease in activity state in the dark period (p < 0.001) and light period (p < 0.01) and a significant decrease in distance to point in the dark period (p < 0.05) and light period (p < 0.05) in the 48 + fish. …”
  11. 1011

    Demographic characteristics of participants. by Evelyn Aboagye Addae (22648064)

    Published 2025
    “…While there was a significant direct negative effect of fear of COVID-19 on SWB in the absence of the mediators, there was no significant negative effect of fear of COVID-19 on SWB after adjusting for the mediators in the model. …”
  12. 1012

    Participant characteristics and study measures. by Evelyn Aboagye Addae (22648064)

    Published 2025
    “…While there was a significant direct negative effect of fear of COVID-19 on SWB in the absence of the mediators, there was no significant negative effect of fear of COVID-19 on SWB after adjusting for the mediators in the model. …”
  13. 1013
  14. 1014

    Gene expression of neurotransmitter pathways at 6 dp. by Morgan Barnes (7876373)

    Published 2025
    “…In the 24 hpf dnVDRa induced group we see a significant decrease in glyt1 expression (p < 0.05) and an increase in glyt2 expression (p < 0.05) and in slc32a1 expression (p < 0.01). …”
  15. 1015

    Antibodies used in this study. by Kevin J. Kokesh (19859571)

    Published 2024
    “…Western blot and densitometric analysis showed a significant increase in cathepsin B protein expression in <i>M</i>. …”
  16. 1016

    Time and flowrate used for proteomics. by Kevin J. Kokesh (19859571)

    Published 2024
    “…Western blot and densitometric analysis showed a significant increase in cathepsin B protein expression in <i>M</i>. …”
  17. 1017

    S1 Graphical abstract - by Kevin J. Kokesh (19859571)

    Published 2024
    “…Western blot and densitometric analysis showed a significant increase in cathepsin B protein expression in <i>M</i>. …”
  18. 1018

    Imformation. by Shicheng Luo (14349225)

    Published 2025
    “…Flow cytometry revealed a significant decrease in the apoptosis of HK-2 cells. …”
  19. 1019

    Key safety measures including adverse events. by Anuja Dokras (8679261)

    Published 2025
    “…As there is a lack of robust evidence on the impact of these first-line medications on cardiovascular disease (CVD) risk, we compared the effect of COCPs, metformin or both on prevalence of metabolic syndrome (MetS) in participants with hyperandrogenic PCOS and hypothesized that COCPs would increase prevalence of MetS while metformin would decrease prevalence of MetS.…”
  20. 1020

    Scale scores of all participants. by Sylwia Sumińska (21169999)

    Published 2025
    “…However, a notable difference emerged between the two MBSR groups: in the group with smartwatches, a significant increase in mindfulness was observed. In contrast, in the MBSR group without smartwatches, there was a significant decrease across multiple stress-related components, including: anxiety, cognitive impairment, addictions, sleep disorders symptoms, behaviors indicating lack of entertainment, and poor functioning.…”