Results 31 to 40 of about 38,763 (293)
Advanced Science, EarlyView.We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
BMC Bioinformatics, 2003 Background The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods.
Baskin Berivan +11 more
doaj +1 more source
JICST factual database. (2). JICST chemical dictionary database.
Journal of Information Processing and Management, 1988 有機化合物の体系名を解析し, 原子結合表を自動作成するプログラムを開発した。体系名と化合物のさまざまな慣用名を組み合わせて入力した化合物データベースを紹介する。従来のものにない, 立体化学を正しく扱える機能を持ち, 検索や表示に反映できる。化審法, 労安法, RTECS等に収載の化合物も登録しており, JICSTファク卜系データベースの中心的辞書として, これらとの相関検索もできる。
openaire +2 more sources
Farmers’ Protests in Germany: Media Coverage and Types of Bias
Agribusiness, EarlyView.ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley +1 more source
IEEE AccessCustomer feedback, often shared through online reviews, plays a crucial role in shaping business strategies. However, the overwhelming volume of such reviews poses two major challenges: valuable insights often go unnoticed, and manual analysis introduces
Buchepalli Praneeth +7 more
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.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
Adding intelligence to a scientific database
Data Science Journal, 2006 An experimental system called QPS (Quantitative Problem Solver) has shown that a numerical database of quantities in the physical sciences can be enhanced by adding intelligence for problem-solving.
F J Smith
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Social sciences in Serbia, with Momirović and without him: A bibliometric portrait [PDF]
Psihologija, 2005 Research performance of Konstantin Momirović (1932-2004), a prominent Serbian psychologist and statistician was analyzed, based on one domestic (SocioFakt) and one international citation database (SSCI).
Šipka Pero
doaj +1 more source
Waves of potentiality: Some thoughts on database narratives and the digital dissemination of audio-visual practice research [PDF]
, 2007 I'm currently completing the dissemination stage of my practice/research (P/R) AHRC Fellowship in the Creative and Performing Arts. The ‘outcomes’ of the project include a linear finished film, some text in the form of articles, along with the selection ...
Dowmunt, Tony
core +1 more source