Results 51 to 60 of about 41,115 (294)

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Factual database system "ChemSource".

Journal of Information Processing and Management, 1998
科学技術振興事業団は，平成9年8月よりファクトデータベースシステム“ChemSource”のインターネット提供を開始した。このシステムは“JOIS-F”システムより継承した「熱物性データベース」，「結晶構造データベース」，「質量スペクトルデータベース」を搭載しており，インターネットならではのGUI検索や，Javaによる高度なグラフィック表示を実現しているが，現在無料での提供が行われており，特別な登録手続き無しに利用できる。本稿はとくにその利用法を中心に，システムを紹介するものである。
openaire   +2 more sources

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

The Philosophy of Ignacio Ellacuría: a new Critical Theory with implications for pedagogy

Pensamiento. Revista de Investigación e Información Filosófica, 2015
First, I present systematically the philosophy of historical reality of Ignacio Ellacuría, including comments of the most relevant works by some authors, after a review of secondary sources in major databases. We emphasize particularly as the proposal of
Marcos Santos Gómez
doaj   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source

Modelling the pesticide transfer during tea and herbal tea infusions by the identification of critical infusion parameters [PDF]

, 2023
Pesticide residues in tea and herbal tea often exceed EU maximum residue limits. Consideration of the transfer of pesticides from the leaves (called transfer factors) to the brew is essential to assess the associated risk.
Claire Demoury, V. Van Leeuw, P. Szternfeld, W. Brian, L. Joly, Wendy Brian, Virginie Van Leeuw, J.Y. Michelet, Laure Joly, Jean-Yves Michelet, E. Van Hoeck, Els Van Hoeck, Philippe Szternfeld, C. Demoury   +13 more
core   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Effect of a clinical evidence technology on patient skin disease outcomes in primary care: a cluster-randomized controlled trial

Journal of the Medical Library Association, 2019
Objective: Providers’ use of clinical evidence technologies (CETs) improves their diagnosis and treatment decisions. Despite these benefits, few studies have evaluated the impact of CETs on patient outcomes.
Marianne Burke, Benjamin Littenberg
doaj   +1 more source

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

Anatomical Sciences Education, EarlyView.
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko, Volodymyr Mavrych, Olena Bolgova, Fathima Raahima Riyas Mohamed, Jennifer Westrick, Lorena Juarez, Emily Rush, Kathryn A. Solka, Alison F. Doubleday, Jessica N. Byram, Robert Becker, Victoria Gomez, Brenda K. Anak Ganeng, Leslie A. Hoffman, Victoria A. Roach, Kirsten M. Brown, Nicole DeVaul, Colleen N. Garnett, Hannah L. Herriott, Rebecca S. Lufler, Jason C. Mussell, Joy Y. Balta, Michael A. Pascoe, Jason W. Middleton, Sharon Duffy, Georgina C. Stephens, Adam B. Wilson   +26 more
wiley   +1 more source

Clinical neuroanatomy teaching at Peking University Health Science Center: Evolution, current practice, and future direction

Anatomical Sciences Education, EarlyView.
Abstract Neuroanatomy has been considered one of the most challenging subjects in medical education, often leading to “neurophobia” and discouraging students from pursuing neurological specialties. At PKUHSC, the curriculum has evolved from a traditional, discipline‐based model to a technology‐enhanced, integrated “Nervous System” module for ...
Xuan Fang, Man Li, Xiaodan Hu, Chang Su, Shan Ye, Xianzhong Shi, Xiaomei Yang, Changman Zhou, Weiguang Zhang, Chunhua Chen   +9 more
wiley   +1 more source