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. …”

Generated spline library. by Zhe Hu (787283)

Validation of a virus mini-library neutralization assay for mAb fingerprinting with sequencing-based readout. by Caio Foulkes (20592250)

Data Sheet 1_Large language models for closed-library multi-document query, test generation, and evaluation.docx by Claire Randolph (19747105)

“…</p>Methods<p>Herein, two methods are introduced (DaaDy: document as a dictionary and SQAD: structured question answer dictionary), which together enable effective implementation of LLM-RAG question-answering on large documents. Additionally, the AI for knowledge intensive tasks (AIKIT) solution is presented for working with numerous documents for training and continuing education. …”

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

Estimation of phylotypic coverage and diversity of resinous heartwood of <i>A. sinensis</i> based on the internal transcribed spacer (ITS) libraries and pyrosequencing analysis. by Jie Chen (5892)

Library Enabling Annotation of Botanical Natural Products (LEAFBot): An Open-Access Library of Mass Spectrometry Fragmentation Spectra for Plant Metabolites by Victoria M. Anderson (12412672)

“…The LEAFBot database represents a new resource to the mass spectrometry and metabolomics community seeking to characterize plant-based samples. The possibility of searching against a taxonomically specific library decreases the likelihood of false positives in database searches, and the ease of adding new spectra, following procedures outlined herein, will enable community-lead expansion of the database.…”

Digital Microfluidic Platform Based on Printed Circuit Board for Affinity Evaluation of Mertansine Aptamers by Dongliu Xiang (10688647)

“…However, the selection of aptamers typically involves multiple optimizations and an iterative process, including library design, high-affinity library enrichment, sequencing, and affinity assessment of candidate sequences. …”

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”

AI KRegression by CHIN-CHENG CHU (20718575)

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)

Considering Measurement Time and Depth in diaPASEF Plasma Proteomics by Eva R. Smit (19867170)

“…As expected, an increase in the measurement time invested in the spectral library enhanced the number of identifications. At the protein level, in silico libraries provided decreased depth compared to the most extensive experimental library. …”

Considering Measurement Time and Depth in diaPASEF Plasma Proteomics by Eva R. Smit (19867170)

“…As expected, an increase in the measurement time invested in the spectral library enhanced the number of identifications. At the protein level, in silico libraries provided decreased depth compared to the most extensive experimental library. …”

The funnel plot based on COVID-19 infection in non-health care workers (A) and health care workers (B). by Zhuoyang Xia (21354186)

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)

Results of network meta-analysis for scar thickness based on the frequentist approach (SMD, 95% CI). by Xiaojuan Yang (794374)

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Results of network meta-analysis for visual analog scale score based on the frequentist approach (SMD, 95% CI). by Xiaojuan Yang (794374)

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Results of network meta-analysis for vancouver scar scale score based on the frequentist approach (SMD, 95% CI). by Xiaojuan Yang (794374)

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