| 1. |
- Sumaila, U. Rashid, et al.
(author)
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WTO must ban harmful fisheries subsidies
- 2021
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In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 374:6567, s. 544-544
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Journal article (other academic/artistic)
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| 2. |
- Jacquet, Jennifer, et al.
(author)
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Support US OCTOPUS Act to keep octopuses wild.
- 2024
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In: Science (New York, N.Y.). - 1095-9203. ; 385:6710, s. 721-722
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Journal article (peer-reviewed)abstract
- Commercial octopus farming is incapable of meeting welfare requirements, unsustainable, and unnecessary for sustenance. Although no commercial octopus farms currently exist, a Spanish seafood company plans to build one in the Canary Islands for Octopus vulgaris. In March, the US state of Washington banned octopus farming. Similar legislation has been introduced in California and Hawai‘i . Now, the federal government is proposing action. The US Congress should pass the OCTOPUS Act, a federal law that would prohibit commercial octopus aquaculture in the United States and the import of commercially farmed octopus or octopus products.
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| 3. |
- Wang, Yucheng, et al.
(author)
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Late Quaternary Dynamics of Arctic Biota from Ancient Environmental Genomics
- 2021
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In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 600:7887, s. 86-92
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Journal article (peer-reviewed)abstract
- During the last glacial–interglacial cycle, Arctic biotas experienced substantial climatic changes, yet the nature, extent and rate of their responses are not fully understood1–8. Here we report a large-scale environmental DNA metagenomic study of ancient plant and mammal communities, analysing 535 permafrost and lake sediment samples from across the Arctic spanning the past 50,000 years. Furthermore, we present 1,541 contemporary plant genome assemblies that were generated as reference sequences. Our study provides several insights into the long-term dynamics of the Arctic biota at the circumpolar and regional scales. Our key fndings include: (1) a relatively homogeneous steppe–tundra fora dominated the Arctic during the Last Glacial Maximum, followed by regional divergence of vegetation during the Holocene epoch; (2) certain grazing animals consistently co-occurred in space and time; (3) humans appear to have been a minor factor in driving animal distributions; (4) higher efective precipitation, as well as an increase in the proportion of wetland plants, show negative efects on animal diversity; (5) the persistence of the steppe–tundra vegetation in northern Siberia enabled the late survival of several now-extinct megafauna species, including the woolly mammoth until 3.9 ± 0.2 thousand years ago (ka) and the woolly rhinoceros until 9.8 ± 0.2 ka; and (6) phylogenetic analysis of mammoth environmental DNA reveals a previously unsampled mitochondrial lineage. Our fndings highlight the power of ancient environmental metagenomics analyses to advance understanding of population histories and long-term ecological dynamics
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| 4. |
- Wang, Yucheng, et al.
(author)
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Reply to: When did mammoths go extinct?
- 2022
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In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 612:7938, s. 4-6
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Journal article (peer-reviewed)
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| 9. |
- Froese, L, et al.
(author)
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Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research
- 2021
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In: Frontiers in big data. - : Frontiers Media SA. - 2624-909X. ; 4, s. 689358-
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Journal article (peer-reviewed)abstract
- Introduction: As real time data processing is integrated with medical care for traumatic brain injury (TBI) patients, there is a requirement for devices to have digital output. However, there are still many devices that fail to have the required hardware to export real time data into an acceptable digital format or in a continuously updating manner. This is particularly the case for many intravenous pumps and older technological systems. Such accurate and digital real time data integration within TBI care and other fields is critical as we move towards digitizing healthcare information and integrating clinical data streams to improve bedside care. We propose to address this gap in technology by building a system that employs Optical Character Recognition through computer vision, using real time images from a pump monitor to extract the desired real time information.Methods: Using freely available software and readily available technology, we built a script that extracts real time images from a medication pump and then processes them using Optical Character Recognition to create digital text from the image. This text was then transferred to an ICM + real-time monitoring software in parallel with other retrieved physiological data.Results: The prototype that was built works effectively for our device, with source code openly available to interested end-users. However, future work is required for a more universal application of such a system.Conclusion: Advances here can improve medical information collection in the clinical environment, eliminating human error with bedside charting, and aid in data integration for biomedical research where many complex data sets can be seamlessly integrated digitally. Our design demonstrates a simple adaptation of current technology to help with this integration.
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