Results 71 to 80 of about 2,101,531 (236)
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
The Philosophy of Ignacio Ellacuría: a new Critical Theory with implications for pedagogy
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
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Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang+4 more
wiley +1 more source
Prospects for the use of metaverse tools in the field of public finance in Russia
Purpose: of the study is to identify promising areas for the use of metaverse technologies in the field of public finance in Russia in the context of the current sanctions restrictions and considering the peculiarities of the national budget system ...
Yu. A. Altynov
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Large Language Model‐Based Chatbots in Higher Education
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+4 more
wiley +1 more source
Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon+20 more
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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
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Abstract Gross anatomy is often taught and assessed based on a “standard” view of the human body, limiting students' exposure to normal variation, creating a potential curricular gap in the training of future anatomists and health care professionals.
Kayla Vieno‐Corbett+3 more
wiley +1 more source
Converting ENDF libraries into relational format [PDF]
The article considers the issues of converting the ENDF format systems of constants to relational databases. This conversion can become one of the tools facilitating the development and operation of factual information, techniques and algorithms in the ...
Anatoliy Yuferov
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Abstract Neuroanatomy education has evolved and improved over the years, driven by advances in technology that have led to the development of innovative interactive digital and immersive learning resources. While neuroanatomy educators have been keeping pace with and harnessing these technology advances, many medical students still struggle to apply ...
Eleni Patera+2 more
wiley +1 more source