Displacement cloud maps. by Maogang Tian (21485116)

BPN values at wet and slippery bends. by Qiang Pan (3818617)

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MTD values at wet and slippery bends. by Qiang Pan (3818617)

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Displacement cloud map (geology). by Hui Cheng (195456)

Atmospheric Chlorine Wet Deposition in China: National Decreases but Localized Increases in Urban Agglomerations by Yue Xi (22336201)

Nitrogen enrichment decreases the functional and compositional stability of alpine meadow community by different mechanisms by Yang Xiangrong (22802927)

Point cloud fusion instance effect. by Hongliang Zou (20707270)

“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”

The wetting feature of compound solutions. by Xinhui Luo (11880086)

Effect of imidacloprid and rutin administration on wet mass, dry mass, and water content of the thorax in Africanized honey bee foragers. by Juan P. Hernández (22216133)

Boxplots comparing KGE_mean values of every scenario group (a-e) for calibration, where the black star is showing the mean. by Fabian Mitze (21084251)

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Boxplots comparing KGE_mean values of every scenario setting (a-e) for validation, where the filled black dot symbolizes the mean. by Fabian Mitze (21084251)

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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Validation results for the different scenario parameter sets and the resulting KGE_mean value. by Fabian Mitze (21084251)

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CM-DWM-EC chart using 30% decrease in the mean for the E(KeV). by Shumaila Nisar (20114256)

“…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).</p>…”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 1. by Hongliang Zou (20707270)

Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 6. by Hongliang Zou (20707270)

Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 5. by Hongliang Zou (20707270)

Symbols and meanings. by Yan Wen (416285)

Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”