Increasing fractions of mobilized and static taxa in the microbial streamwater community, with a corresponding decrease in the fraction of diluted microbial taxa, detail the shift... by Dawn R. URycki (9659702)

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. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”

Tracking error comparison of obstacle avoidance trajectories in scenarios with obstacles moving at a constant linear speed. by Long Di (9977453)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”

Analysis of the repulsive force generated by a static obstacle. by Long Di (9977453)

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

“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”

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

“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”

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

“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”

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

“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”

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

“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”

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

“…Furthermore, a wettability gradient (water contact angle from 154.6° to 84.9°) was prepared on the wedge-shaped track to enhance the droplet motion. …”

Development of a CRISPR/Cas-Based Detection Platform for Tracking Decreased Susceptibility to Cephalosporins in Neisseria gonorrheae by Ziyuan Zhao (2889005)

Subjects:

Experimental setup under ablation experiments. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Obstacle uniform linear motion scenarios. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Analysis of the tangential force of the obstacle. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Table of values for <i>p.</i> by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Static obstacle avoidance scene setup. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

The schematic diagram of the region <i>O</i>₁. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

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)

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)