Voxel-based whole-brain analysis shows regional and dose-dependent effects of netoglitazone in decreasing plaque mean size. by Francesca Catto (21253435)

Random forest plot showing the importance of predictors (top 10) for classifying LF progression based on the Mean Decrease in Gini index. by Emmanuel Kobla Atsu Amewu (13946765)

Symbols and meanings. by Yan Wen (416285)

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. …”

Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

Comparison of related works and our study on ADHD text classification. by Ahmed Akib Jawad Karim (20427740)

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

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Femur length anomalies tend to decrease with later phenology (greater day of year of adulthood anomaly) regardless of elevation or species’ seasonal timing. by César R. Nufio (11646271)

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

Forest plots illustrate the mean difference in creatinine level with subgroup analysis based on patients’ age. by Mohamed R. Abdelraouf (21501468)

Cumulative distribution of EQ-5D-3L utilities decreasingly ordered before and after the onset of cutaneous leishmaniasis symptoms. by Janaína de Pina Carvalho (12152812)

Meaning of Each Model. by Yutong Liu (4027994)

“…This study provides an innovative approach for intelligent text correction tasks, expands the application scenarios of the BERT model, and offers significant support for the practical implementation of NLP technologies. …”

S1 Text - Predicting future forest fire occurrence probability based on drought characteristics at various temporal scales in P. R. China by Xianzhuang Shao (22766120)

Modelled policy outcomes, with posterior values for individual nodes ranked from 1-5 across the parties - Green, Reform UK, Liberal Democrat, Conservative, and Labour, where 1 is the lowest rank and 5 is the highest. The parties are ranked for each policy node in the network (e.g., income tax), based on the direction of change (“performance indicator”) stated in the first column (e.g., lowest, highest, most, improvement). For example, a value of 5 for Green tax means that green tax is lowest under Reform UK’s policies, while a value of 1 means that green tax is highest under the Green Party’s policies. Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour). by Richard Stafford (174326)

“…Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour).…”

Change in Mean Anxiety Scores Over time by group. by Shaaista Budhani (21030221)

Identification of Gut Microbiota Biomarker Genera Distinguishing Wild and Captive Animals (A) Top 50 discriminative genera selected by random forest classifier, ranked by mean decr... by Lin Xu (94491)

Mean TTC under different weights. by Jianrong Cai (14245136)

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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)

Lymphocytes decreased in mouse pneumonia model. by Qi Xu (134661)

Obstacle avoidance trajectory generation process based on the method in this paper (for specific trajectory point data, please refer to the attachment ‘S3 Table.xlsx’. For detailed... by Long Di (9977453)