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of 268
pro vyhledávání: '"Weldy P"'
Passive acoustic monitoring (PAM) studies generate thousands of hours of audio, which may be used to monitor specific animal populations, conduct broad biodiversity surveys, detect threats such as poachers, and more. Machine learning classifiers for
Externí odkaz:
http://arxiv.org/abs/2402.15360
Autor:
Balvanera, Santiago Martinez, Mac Aodha, Oisin, Weldy, Matthew J., Pringle, Holly, Browning, Ella, Jones, Kate E.
1. Automated analysis of bioacoustic recordings using machine learning (ML) methods has the potential to greatly scale biodiversity monitoring efforts. The use of ML for high-stakes applications, such as conservation research, demands a data-centric
Externí odkaz:
http://arxiv.org/abs/2308.12688
Autor:
Daniel Seung Kim, Emily L. Chu, Emily E. Keamy-Minor, Ishan Dhananjay Paranjpe, Wilson L. Tang, Jack W. O’Sullivan, Yaanik B. Desai, Michael B. Liu, Elise Munsey, Kimberly Hecker, Isabella Cuenco, Beth Kao, Ellen Bacolor, Colleen Bonnett, Andrea Linder, Kathleen Lacar, Nancy Robles, Cindy Lamendola, Allysonne Smith, Joshua W. Knowles, Marco V. Perez, Masataka Kawana, Karim I. Sallam, Chad S. Weldy, Matthew T. Wheeler, Victoria N. Parikh, Heidi Salisbury, Euan A. Ashley, the Stanford Center for Inherited Cardiovascular Disease, Karim I Sallam, Chad S Weldy, Marco Perez, Joshua W Knowles, Jason Tso, Julia Platt, Chloe Reuter, Tia Moscarello, Ryan Murtha, Jennifer Kohler, Hannah Ison, Mitchel Pariani, Anusha Klinder, Priya Nair, Jennifer Marino, Ruchi Patel, Matthew T Wheeler, Euan A Ashley, Victoria N Parikh
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Mavacamten is a first-in-class cardiac myosin ATPase inhibitor, approved by the United States Food and Drug Administration for the treatment of hypertrophic cardiomyopathy with obstructive physiology (oHCM). Here, we present the real-world use of mav
Externí odkaz:
https://doaj.org/article/10cfc802d1ec46fb9a4e39b0fd818be9
Autor:
Matthew Weldy, Tom Denton, Abram Fleishman, Jaclyn Tolchin, Matthew McKown, Robert Spaan, Zachary Ruff, Julianna Jenkins, Matthew Betts, Damon Lesmeister
Publikováno v:
Biodiversity Data Journal, Vol 12, Iss , Pp 1-28 (2024)
Declines in biodiversity and ecosystem health due to climate change are raising urgent concerns. In response, large-scale multispecies monitoring programmes are being implemented that increasingly adopt sensor-based approaches such as acoustic record
Externí odkaz:
https://doaj.org/article/d0ed5780b1f34438b44712f0d2c90ba3
Autor:
Adam Duarte, Matthew J. Weldy, Damon B. Lesmeister, Zachary J. Ruff, Julianna M.A. Jenkins, Jonathon J. Valente, Matthew G. Betts
Publikováno v:
Ecological Indicators, Vol 162, Iss , Pp 112016- (2024)
Population monitoring is an essential component of biodiversity conservation and management, but low detection probabilities for rare and/or cryptic species makes estimating abundance and occupancy challenging. Passive acoustic monitoring combined wi
Externí odkaz:
https://doaj.org/article/74db221a710b49cf863d90d1bff821af
Publikováno v:
Frontiers in Bird Science, Vol 3 (2024)
Passive acoustic monitoring (PAM) studies generate thousands of hours of audio, which may be used to monitor specific animal populations, conduct broad biodiversity surveys, detect threats such as poachers, and more. Machine learning classifiers for
Externí odkaz:
https://doaj.org/article/e55ca31e5cfa47ddb01890839c0ced9b
Akademický článek
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Akademický článek
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Publikováno v:
Agrointek, Vol 17, Iss 2, Pp 317-327 (2023)
Oil Palm Empty Fruit Bunches (OPEFB) are among the processed palm oil's waste products. A tone of processed fresh oil palm fruit bunches produces 22-23% of OPEFB. Using OPEFB as mulch for the gate takes a long to decompose and triggers rhinoceros bee
Externí odkaz:
https://doaj.org/article/03d41e903b4a41c196ec25684e5fbe17
Autor:
Hyun-Jung Kim, Paul Cheng, Stanislao Travisano, Chad Weldy, João P. Monteiro, Ramendra Kundu, Trieu Nguyen, Disha Sharma, Huitong Shi, Yi Lin, Boxiang Liu, Saptarsi Haldar, Simon Jackson, Thomas Quertermous
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Genes encode risk for coronary disease, identifying how they function is critical to developing new therapies. In work reported the authors have identified one culprit gene, PDGFD, and studied how it functions to promote disease risk.
Externí odkaz:
https://doaj.org/article/1f946cc4346c421b9a9fc85922c6c147