Participant flow diagram of the DRIFT trial. by Teemu P. Hevonkorpi (11577571)

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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. …”

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

Between-group differences of mean PRWE with 95% confidence intervals in primarily malaligned DRFs and early malaligned DRFs at 3-month and 12-month follow-up. by Teemu P. Hevonkorpi (11577571)

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Primary and secondary outcomes of the randomized clinical trial groups at 3 months and 12 months. by Teemu P. Hevonkorpi (11577571)

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Baseline characteristics of 291 patients by randomization group. by Teemu P. Hevonkorpi (11577571)

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Adverse events at 12-month follow-up by study group. by Teemu P. Hevonkorpi (11577571)

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Table 1_COVID-19 pandemic increased ESKAPEEc bloodstream infections and amplified carbapenem resistance in Chinese children: a multicenter surveillance study (2016–2023).xls by Xiaoqiang Li (612879)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Polyelectrolyte-based wireless and drift-free iontronic sensors for orthodontic sensing (Source data for Fig. 2-5 of <b>SCIENCE ADVANCES</b> <b>adu6086</b>) by Jia Song (20686730)

“…Second, tissue-like soft sensors often suffer from viscoelasticity-induced signal drift, causing inaccurate measurements. Here, we report a wireless and drift-free sensory system enabled by a low-creep polyelectrolyte elastomer. …”

Feature engineering. by Youli Jiang (15249070)

Elephant seal dive behaviour responds consistently to changes in foraging success regardless of sex or ocean habitat by David Green (10157417)

“…Importantly, we can align these results with predictions from the marginal value theorem (MVT), that a forager should remain in a patch only until gains drop below the neighbourhood mean. …”

Data Sheet 5_The March and April 2023 ionospheric storms over Europe.pdf by Zbyšek Mošna (19743394)

“…For the first time, we present a unique and convincing excellent agreement between the Continuous Doppler Sounding System and Digisonde Drift Measurement. …”

Data Sheet 1_The March and April 2023 ionospheric storms over Europe.pdf by Zbyšek Mošna (19743394)

“…For the first time, we present a unique and convincing excellent agreement between the Continuous Doppler Sounding System and Digisonde Drift Measurement. …”

Data Sheet 3_The March and April 2023 ionospheric storms over Europe.pdf by Zbyšek Mošna (19743394)

“…For the first time, we present a unique and convincing excellent agreement between the Continuous Doppler Sounding System and Digisonde Drift Measurement. …”

Data Sheet 4_The March and April 2023 ionospheric storms over Europe.pdf by Zbyšek Mošna (19743394)

“…For the first time, we present a unique and convincing excellent agreement between the Continuous Doppler Sounding System and Digisonde Drift Measurement. …”