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. …”

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)

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

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

The decreased permeability caused by phospholipid content in the membrane could drive the emergence of other functions in the protocells. by Wentao Ma (326530)

Elementary Steps in Olefin Metathesis: Nickelacyclobutanes via Cycloaddition to Nickel Carbenes by Samantha K. Cormier (16872384)

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Schematic for preparation steps of BRA and recycled asphalt. by Ying Fang (147352)

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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)

(A) Shape of the osteotomies during the 3-step MIPS drilling procedure. by Marsel Ganeyev (21453399)

Introgression decreases allelic shuffling. by Enrique J. Schwarzkopf (6579275)

(A) Procedural steps for minimally invasive Ponto surgery (MIPS). The MIPS procedure involves the following steps: (i) A circular incision is created at the selected site via a 4-... by Marsel Ganeyev (21453399)

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

High-Temperature Resistance, Lightweight, and Thermally Insulating Silica Aerogel via Doping Hollow Silica Nanoparticles by Mingyang Yang (1405321)

“…Furthermore, at 1100 °C, thermal conductivity decreased by 34.4%, and the density was only 242 kg/m³, the lowest density among SiO₂-based aerogel composites. …”

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)