Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

“…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”

For a random opinion vector y(0), on ER models with <i>n</i> = 100 and <i>ρ</i> ∈ (0,1]. by Xi Chen (35903)

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Example of reference standard and AI output. by Prerana Agarwal (21781515)

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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)

For a random opinion vector y(0) with mean −0.0395, on 1,000 ER models with <i>n</i> = 100 and <i>ρ</i> = 0.4. by Xi Chen (35903)

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<i>x</i>₁(<i>t</i> + 1) as a function of <i>x</i>_2,3,4,5(<i>t</i>). by Xi Chen (35903)

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Chatbots Vs. Human Experts: Evaluating Diagnostic Performance of Chatbots in Uveitis and the Perspectives on AI Adoption in Ophthalmology by William Rojas-Carabali (13908962)

Performance on increasingly large data sets. by Kieran Elmes (11127506)

Benchmark of the mean difference in FKS for pre-processing to post-processing for each large language model approach, Programmatic+AI, T5, GPT-J-6b. by Karl Swanson (3580583)

Data Sheet 1_Exploring LLM-powered multi-session human-robot interactions with university students.pdf by Mauliana Mauliana (21467063)

“…<p>This exploratory study investigates how open-domain, multi-session interactions with a large language model (LLM)-powered social humanoid robot (SHR), EMAH, affect user perceptions and willingness for adoption in a university setting. …”

Topic modeling topics, the top 20 associated topic words, and comparable artificial intelligence (AI) generated themes from a ChatGPT query via OpenAI.com from the prompt: <i>“What... by Abigail J. Lynch (8340090)

Image examples representing strengths and limitations of the AI tool. by Prerana Agarwal (21781515)

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Data Sheet 1_Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.pdf by Manuela Deodato (11135016)

Data Sheet 2_Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.pdf by Manuela Deodato (11135016)

Brief Report: Increased technology use associated with lower A1C in a large pediatric clinical population by G. Todd Alonso (9568724)

The percentages of genes with largely changed expression after AdNKX2-1 infection. by Yuko Ito (1976692)

Figure 2 -CyrtarachneSurfaceSpreading Comparison.ai from The moth specialist spider <i>Cyrtarachne akirai</i> uses prey scales to increase adhesion. by Candido Diaz (1477900)

“…<i>Larinioides cornutus</i> glue droplets failed to penetrate the moth scales, their force of adhesion thus limited by the strength of attachment of scales to the cuticle. The large size and low viscosity of <i>C. akirai</i> glue droplets function together to use the three-dimensional topography of the moth's scales against itself via capillary forces. …”

Mining Solid-State Electrolytes from Metal–Organic Framework Databases through Large Language Models and Representation Clustering by Jinglang Zhang (20989405)

“…The AI-assisted mining of novel MOF SSEs, along with their design principles, creates a new paradigm for accelerating materials discovery.…”

Formaldehyde-binding residues are largely conserved in DUF336 homologs. by Jannell V. Bazurto (7847171)

For 1,000 random y(0). by Xi Chen (35903)

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