Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Bridget T. McInnes"'
Autor:
Andrew T. Nguyen, Heather M. Childs, William M. Salter, Afroditi V. Filippas, Bridget T. McInnes, Kris Senecal, Timothy J. Lawton, Paola A. D’Angelo, Walter Zukas, Todd E. Alexander, Victoria Ayotte, Hong Zhao, Christina Tang
Publikováno v:
Liquids, Vol 3, Iss 4, Pp 440-455 (2023)
Materials that generate structural color may be promising alternatives to dyes and pigments due to their relative long-term stability and environmentally benign properties. Liquid crystal (LC) mixtures of cholesteryl esters demonstrate structural col
Externí odkaz:
https://doaj.org/article/3545faa7bcc44daa9d47e39c15f84d02
Autor:
Amy L. Olex, Bridget T. McInnes
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 7 (2022)
Temporal expression recognition and normalization (TERN) is the foundation for all higher-level temporal reasoning tasks in natural language processing, such as timeline extraction, so it must be performed well to limit error propagation. Achieving n
Externí odkaz:
https://doaj.org/article/754d2c3a1acf4645977b7c72a72aa0a3
Publikováno v:
IEEE Access, Vol 9, Pp 147600-147612 (2021)
Data privacy is one of the highly discussed issues in recent years as we encounter data breaches and privacy scandals often. This raises a lot of concerns about the ways the data is acquired and the potential information leaks. Especially in the fiel
Externí odkaz:
https://doaj.org/article/7f94d320d3ff44129ad0a37f7dcb7b12
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 6 (2021)
Chemical patents are an essential source of information about novel chemicals and chemical reactions. However, with the increasing volume of such patents, mining information about these chemicals and chemical reactions has become a time-intensive and
Externí odkaz:
https://doaj.org/article/8d5949530bec4ba383f459a1ce7a98d6
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 6 (2021)
In this paper, we describe how we applied LBD techniques to discover lecithin cholesterol acyltransferase (LCAT) as a druggable target for cardiac arrest. We fully describe our process which includes the use of high-throughput metabolomic analysis to
Externí odkaz:
https://doaj.org/article/490615c9369b4ee5b93b533e7c475778
Autor:
Sam Henry, Bridget T. McInnes
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-19 (2019)
Abstract Background Literature Based Discovery (LBD) produces more potential hypotheses than can be manually reviewed, making automatically ranking these hypotheses critical. In this paper, we introduce the indirect association measures of Linking Te
Externí odkaz:
https://doaj.org/article/7c8e9311c6eb4faead6d370ed5965704
Autor:
Christina Tang, Bridget T. McInnes
Publikováno v:
Molecules, Vol 27, Iss 17, p 5611 (2022)
Reducing the use of solvents is an important aim of green chemistry. Using micelles self-assembled from amphiphilic molecules dispersed in water (considered a green solvent) has facilitated reactions of organic compounds. When performing reactions in
Externí odkaz:
https://doaj.org/article/84614c4a971a4c6483771d6eb7076dc0
Publikováno v:
Micromachines, Vol 12, Iss 7, p 780 (2021)
Optimization of extrusion-based bioprinting (EBB) parameters have been systematically conducted through experimentation. However, the process is time- and resource-intensive and not easily translatable to other laboratories. This study approaches EBB
Externí odkaz:
https://doaj.org/article/00944f6c79784d1b8a1c13f55257538c
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 6, Iss 1, Pp 1439-1449 (2015)
Literature in the field of nanotechnology is exponentially increasing with more and more engineered nanomaterials being created, characterized, and tested for performance and safety. With the deluge of published data, there is a need for natural lang
Externí odkaz:
https://doaj.org/article/ad8c3e2be3c240a1bae009b6f7088d9a
Publikováno v:
J Am Med Inform Assoc
Objective Neural network deidentification studies have focused on individual datasets. These studies assume the availability of a sufficient amount of human-annotated data to train models that can generalize to corresponding test data. In real-world
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4c602acc59623af129f25901ed49ec8
https://doi.org/10.1093/jamia/ocab207
https://doi.org/10.1093/jamia/ocab207