Results 71 to 80 of about 4,804,928 (276)
Multi-prompt Learning Based Aspect-Category Sentiment Analysis [PDF]
Jisuanji kexue yu tansuoAspect-category sentiment analysis (ACSA) aims to discern aspect categories in review texts and simultaneously predict their sentiment polarity. It is an important fine-grained subtask in the field of sentiment analysis.
LIU Jinhang, LI Lin, WU Renwei, LIU Jia
doaj +1 more source
FEBS Letters, EarlyView.Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source
Pan-indexicality and prompt: developing a teaching model for AI-mediated academic writing
Language and Semiotic StudiesAI-mediated academic writing calls for new pedagogical approaches to the application of prompt engineering for writing courses. Whereas previous studies mainly inform students of prompt engineering techniques, little is known about how prompt engineering
Zhu Jing, Duan Chunyun
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Prompt Engineering Guide: Welding Technology [PDF]
Prompt engineering guide for welding technology.
Lopez-Maldonado, Cesar
core +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
NEXT-GEN TELECOM AI: MASTERING PROMPT ENGINEERING FOR INNOVATION
Information and Telecommunication SciencesBackground. Since 2021, prompt engineering has emerged as a cornerstone of artificial intelligence (AI), revolutionising telecommunications by 2023 through optimised large language models (LLMs). Objective. This review synthesises existing research to
Михайло Ільченко
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Automatic Engineering of Long Prompts
Findings of the Association for Computational Linguistics ACL 2024Large language models (LLMs) have demonstrated remarkable capabilities in solving complex open-domain tasks, guided by comprehensive instructions and demonstrations provided in the form of prompts. However, these prompts can be lengthy, often comprising hundreds of lines and thousands of tokens, and their design often requires considerable human effort.
Cho-Jui Hsieh +3 more
openaire +3 more sources
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Prompt Engineering Guide: Respiratory Care [PDF]
Prompt engineering guide for respiratory care.
Boganwright, Julie
core +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
FEBS Letters, EarlyView.Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source