Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. …”

Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

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PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predat... by Alexandra M. Campbell (3284094)

The flowchart of the large model for font style transfer. by Weijia Zhu (65481)

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Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…And if the value of λ assumes larger values, the distortion in the shape of the transmitted wave is associated with the plastic deformation in the uncoupled rock mass. …”

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection model respectively; <i>k</i>_<i>L</i> is head loss coefficient for inward protection model. by Akshay Anand (118579)

<i>ΔG°</i> and C_1/2 values of various αB-crystallin samples derived from equilibrium urea unfolding analysis. by Aref Baharvand (21713886)

Biases in larger populations. by Sander W. Keemink (21253563)

“…Threshold parameter <i>c</i> = − 0 . 1 for the rectified cosine tuning with 4 neurons, and width <i>w</i> was 1 for von Mises tuning. …”

Depth pruning can effectively reduce the complexity of the model. by Weijia Zhu (65481)

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Comparison of our model with other state-of-the-art methods. by Weijia Zhu (65481)

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The impact of different diffusion model time steps on the model. by Weijia Zhu (65481)

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Comparison of the results of our model and other methods. by Weijia Zhu (65481)

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The impact of different diffusion model depths on the model. by Weijia Zhu (65481)

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Performance comparison of different text and image encoders. by Weijia Zhu (65481)

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Differences between extreme values of different indicators. by Weijia Zhu (65481)

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Time step optimization can greatly improve the efficiency of training and inference. by Weijia Zhu (65481)

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The impact of different model compression modules on the model. by Weijia Zhu (65481)

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Some examples of selected Chinese characters. by Weijia Zhu (65481)

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Average stability values (mean ± standard deviation) and statistical results. by Hyung Suk Yang (20442438)

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