ArticleDNA and cell biology2022
Empowering Undergraduates to Fight Climate Change with Soil Microbes.
Article in DNA and cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The burning of fossil fuels to meet a growing demand for energy has created a climate crisis that threatens Earth's fragile ecosystems. While most undergraduate students are familiar with solar and wind energy as sustainable alternatives to fossil fuels, many are not aware of a climate solution right beneath their feet-soil-dwelling microbes! Microbial fuel cells (MFCs) harness energy from the metabolic activity of microbes in the soil to generate electricity. Recently, the coronavirus disease 2019 (COVID-19) pandemic transformed the traditional microbiology teaching laboratory into take-home laboratory kits and online modes of delivery, which could accommodate distance learning. This laboratory exercise combined both virtual laboratory simulations and a commercially available MFC kit to challenge undergraduate students to apply fundamental principles in microbiology to real-world climate solutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.