Results 211 to 220 of about 39,393 (243)
VARIDT 4.0: distribution variability of drug transporters. [PDF]
Li Y +11 more
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Federated knowledge retrieval elevates large language model performance on biomedical benchmarks. [PDF]
Joy J, Su AI.
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A review of AI-based business lead generation: Scrapus as a case study. [PDF]
Kaplan A, Seker SE, Yoruk R.
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Evaluation of Methods Adjusting for Unmeasured Confounding Using Large Healthcare Databases: An Empirical Study Concerning Drugs Inducing Prematurity. [PDF]
Duong CH +7 more
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PlantScience.ai: An LLM-Powered Virtual Scientist for Plant Science
Yu H +13 more
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Aslib Proceedings, 1985
As seems always to be the case in the information field, the terminology relating to databases is loose and imprecise. Twenty years ago we used to talk about abstracting and indexing services, meaning lists of references to journal articles and other forms of publication, usually with abstracts of the articles, and with a variety of indexes.
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As seems always to be the case in the information field, the terminology relating to databases is loose and imprecise. Twenty years ago we used to talk about abstracting and indexing services, meaning lists of references to journal articles and other forms of publication, usually with abstracts of the articles, and with a variety of indexes.
openaire +1 more source
Registration of substances in the Gmelin Factual Database
Analytica Chimica Acta, 1992Abstract In the early stages of the development of the Gmelin Factual Database it was shown that coordination compounds in inorganic chemistry cannot be limited to coordination numbers up to 4; so a methodology was developed which enables the registration of structures in which the central atom can have a coordination number up to 20 allowing for up ...
B. Roth, H.-U. Böhmer, R. Deplanque
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Building structure-oriented numerical factual databases: The Beilstein example
World Patent Information, 1987Abstract The generation of one of the world's largest organic chemical databases, the Beilstein Database, is described. This project started in October 1983 and will result in a first online version by late 1987. The contents of the database and its data structure are based on the Beilstein Handbook which so far has been published in over 300 volumes.
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Building Structured Databases of Factual Knowledge from Massive Text Corpora
Proceedings of the 2017 ACM International Conference on Management of Data, 2017In today's computerized and information-based society, people are inundated with vast amounts of text data, ranging from news articles, social media post, scientific publications, to a wide range of textual information from various domains (corporate reports, advertisements, legal acts, medical reports). To turn such massive unstructured text data into
Xiang Ren +3 more
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