Open Access. Powered by Scholars. Published by Universities.®

Other Microbiology Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 3 of 3

Full-Text Articles in Other Microbiology

Annual Faculty Research Symposium 2022, Oakwood University Apr 2022

Annual Faculty Research Symposium 2022, Oakwood University

Proceedings

No abstract provided.


The Inhibition Of Growth Of S. Cerevisiae, U. Maydis, And M. Lychinidis-Dioicae By Apiaecea Plant Extracts, Jackson M Hoffman, Jared Scott, David Schultz Phd Jan 2021

The Inhibition Of Growth Of S. Cerevisiae, U. Maydis, And M. Lychinidis-Dioicae By Apiaecea Plant Extracts, Jackson M Hoffman, Jared Scott, David Schultz Phd

Undergraduate Arts and Research Showcase

The Apiaceae family of plants contains over 3,500 species, many of which are used as food crops: vegetables (carrot, parsnip, celery, etc.), herbs (cilantro, fennel, dill, etc.), and spices (cumin, anise, caraway, etc.). Many spices have been shown to exhibit antimicrobial properties against both bacteria and fungi. We set out to determine if the Apiaceae spice extracts currently used in our lab for anticancer studies exhibit any antimicrobial properties. Ethanolic extracts were made from several Apiaceae seeds: Apium graveolens (celery), Cuminum cyminum (cumin), Anethum graveolens(dill), Foeniculum vulgare (fennel), Coriandrum satvium (coriander), Pimpinella ansium (anise), Trachyspermum ammi (ajwain), Carum carvi …


Anthrax Event Detection Using Twitter: Analysis Of Unigram And Bigrams For Relevant Vs Non-Relevant Tweets, Michele Miller, William L. Romine Apr 2020

Anthrax Event Detection Using Twitter: Analysis Of Unigram And Bigrams For Relevant Vs Non-Relevant Tweets, Michele Miller, William L. Romine

Symposium of Student Research, Scholarship, and Creative Activities Materials

Due to the lack of anthrax attacks in recent times, researchers have used naturally occurring events to assess their anthrax detection models, but these provide little information on how the models will perform in the context of an unannounced, intentional release of a bioterrorism agent, like anthrax. Therefore, it is important to develop a detection model using data surrounding real anthrax scares and events.We develop a methodology to detect an anthrax-related event on Twitter. We describe a process to separate the tweets concerning anthrax-related events from those not related so experts can address misconceptions and fears in real-time.Most tweets were …