Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
AIM: The “2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease” provides an update to and consolidates new evidence since the “2012 ACCF/AHA/ACP/AATS/...
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our models outperform ope...
Many NLP applications require manual text annotations for a variety of tasks, notably to train classifiers or evaluate the performance of unsupervised models. Moreover, the per-annotation cost of Chat...
Importance: There are limited efficacious treatments for Alzheimer disease. Conclusions and Relevance: Among participants with early symptomatic Alzheimer disease and amyloid and tau pathology, donane...
Abstract This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potenti...
The adoption and implementation of genomic medicine and pharmacogenomics (PGx) in healthcare systems have been very slow and limited worldwide. In addition, the majority indicated that they would disc...
Nanoparticles (NPs) have become one of the most popular objects of scientific study during the past decades. In addition, the classical study models such as cell lines and mice and the emerging models...
We examined the productivity effects of a generative artificial intelligence (AI) technology, the assistive chatbot ChatGPT, in the context of midlevel professional writing tasks. Inequality between w...
The asymmetric α-addition of relatively nonpolar hydrocarbon substrates, such as allyl and aryl groups, to aldehydes and ketones remains a largely unsolved problem in organic synthesis, despite the wi...
Abstract Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. We show that comprehension, knowledge recall and reasoning improve with...
Studies in neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease and Amyotrophic lateral sclerosis, Huntington's disease, and so on, have suggested that inflammation is not on...
This research explores Signatures of superconductivity near 80 K in a nickelate und..., contributing new insights to the field of Physics & Space Science.
Abstract There has been considerable recent progress in designing new proteins using deep-learning methods 1–9 . The accuracy of RFdiffusion is confirmed by the cryogenic electron microscopy structure...
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex challenges. This review provides an overview of various...
This research explores Semantic Web: A New Form of Web Content that is Meaningful t..., contributing new insights to the field of Mathematics.
Over the last decade, technological advancements, especially artificial intelligence (AI), have significantly transformed educational practices. This paper aims to delve into these discussions, explor...
Abstract This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI technologies. The Operational dimension addresses ma...
The rapid advancements in artificial intelligence (AI) have led to the development of sophisticated large language models (LLMs) such as GPT-4 and Bard. We argue that regulatory oversight should assur...
Antibiotics are among the most important discoveries of the 20th century, having saved millions of lives from infectious diseases. An orchestrated collaborative action within and between multiple nati...
Abstract Weather forecasting is important for science and society. Our method also works well with extreme weather forecasts and ensemble forecasts.