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significant shape » significant change (Expand Search), significant gap (Expand Search), significant side (Expand Search)
shape decrease » shape increases (Expand Search), showed decreased (Expand Search)
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step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
Showing 121 - 140 results of 2,122 for search '(( significant shape decrease ) OR ( significant ((step decrease) OR (small decrease)) ))', query time: 0.40s Refine Results
  1. 121
    Mean muscle activation patterns across the gait cycle during walking with mediolateral (ML) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke during Unsupported Walking (UW; black), 10% BWS + ML (blue) and 30% BWS + ML (red).

    Mean muscle activation patterns across the gait cycle during walking with mediolateral (ML) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke duri... by Sanne Ettema (18786312)

    Published 2025
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  2. 122
    Mean muscle activation patterns across the gait cycle during walking with anteroposterior (AP) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke during Unsupported Walking (UW; black), anterior forces (green) and posterior forces (purple).

    Mean muscle activation patterns across the gait cycle during walking with anteroposterior (AP) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke d... by Sanne Ettema (18786312)

    Published 2025
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  3. 123
    Mean muscle activation patterns across the gait cycle during walking with Body Weight Support (BWS) for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke during Unsupported Walking (UW; black), 10% BWS (blue) and 30% BWS (red).

    Mean muscle activation patterns across the gait cycle during walking with Body Weight Support (BWS) for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke dur... by Sanne Ettema (18786312)

    Published 2025
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  4. 124
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
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  5. 125
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
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  6. 126
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
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  7. 127
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
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  8. 128
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
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  9. 129
    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets

    A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

    Published 2025
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  10. 130
    Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest observation (red) selected at <i>t</i> = 1.

    Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest obs... by Hyeontae Jo (20469463)

    Published 2024
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  11. 131
    Aβ and vGlut2 staining of 6-, 9-, and 12-month dLGN sections show significant plaque load and accelerated loss of retinal ganglion cell axon terminals in the 5xFAD mice.

    Aβ and vGlut2 staining of 6-, 9-, and 12-month dLGN sections show significant plaque load and accelerated loss of retinal ganglion cell axon terminals in the 5xFAD mice. by Shaylah McCool (20818280)

    Published 2025
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  12. 132
    Average Gait Speed (A), Cadence (B), Step Length (C), and Walk Ratio (D) across Terrains; Violin plots with individual participant data of A) gait speed, B) cadence, C) average step length, and D) walk ratio across terrains.

    Average Gait Speed (A), Cadence (B), Step Length (C), and Walk Ratio (D) across Terrains; Violin plots with individual participant data of A) gait speed, B) cadence, C) average ste... by Benjamin S. Killen (22766029)

    Published 2025
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  13. 133
    (A) Procedural steps for minimally invasive Ponto surgery (MIPS). The MIPS procedure involves the following steps: (i) A circular incision is created at the selected site via a 4- or 5-mm biopsy punch. (ii) The periosteum around the surgical site is removed. (iii) The cannula is inserted into the incision. (iv) First, initial guide drilling is performed. (v) If the bone thickness is adequate, the spacer should be removed from the guide drill to prepare for a 4-mm implant. (vi) The hole is widened with a widening drill. (vii) The cannula is removed, and the implant is installed through the circular incision. (viii) Finally, a soft healing cap is attached to the abutment, and a dressing is applied. (B) The surgical steps for the MONO procedure. The MONO procedure involves the following steps: (i) Create a circular incision at the chosen site via a 4- or 5-mm biopsy punch. (ii) The periosteum around the surgical site is removed. (iii) The cannula is inserted into the incision. (iv) Th

    (A) Procedural steps for minimally invasive Ponto surgery (MIPS). The MIPS procedure involves the following steps: (i) A circular incision is created at the selected site via a 4-... by Marsel Ganeyev (21453399)

    Published 2025
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  14. 134
    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit production per female tree, (C) seed production per female tree; and (D) seed weight. Farming system refers to ecological vs. conventional practices; CCA1 refers to the first axis of the CCA and depicts the relationship between the % of natural habitats in the landscape and the composition of the pollinator community (increase abundance of wild bees with the increase in natural habitats); Male-to-female ratio and Male-to-female ratio<sup>2</sup> indicate linear and quadratic terms, respectively. Significant <i>p</i>-values are marked in bold. RI was estimated by summing the Akaike weights over all the models where each explanatory variable appeared, and highlights the importance of these variables in the models [75].

    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

    Published 2025
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  15. 135
    Generated spline library.

    Generated spline library. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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  16. 136
    Correlation coefficient matrix.

    Correlation coefficient matrix. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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  17. 137
    RMSE versus learning rate.

    RMSE versus learning rate. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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  18. 138
    RMSE versus training parameters.

    RMSE versus training parameters. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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  19. 139
    Assembly process of machine recognition form.

    Assembly process of machine recognition form. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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  20. 140
    Process of steel truss incremental launching.

    Process of steel truss incremental launching. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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