Results 181 to 190 of about 1,154 (254)

Digital surveillance of animals and nature recovery

open access: yesPeople and Nature, EarlyView.
Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley   +1 more source

Deciphering Freeze–Thaw Dynamics In Rockwalls: A Novel Approach for High Accuracy Regional‐Scale Modeling

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT Using a large and novel array of instruments on five rockwalls in northern Gaspesia, their respective surface energy balances were calculated and their thermal regimes were measured and modeled to depths exceeding the seasonal frost penetration.
Tom Birien, Francis Gauthier
wiley   +1 more source

Purification and Properties of Polyvinyl Nitrate and Its Compatibility With Solid Oxidizers

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Polyvinyl nitrate (PVN) is a nitrate‐ester energetic binder that can be produced directly from polyvinyl alcohol—a cheap commodity feedstock—thereby offering potential cost and supply‐chain advantages over binders based on nitrocellulose and other specialty polymers.
Stephen Spice   +3 more
wiley   +1 more source

Mapping the global threat of Mythimna separata (Walker) and its economic implications for Brazil's agriculture

open access: yesPest Management Science, EarlyView.
Global models identified high‐risk areas for Mythimna separata invasion, highlighting major economic vulnerability for Brazilian crops and guiding targeted prevention and management strategies. Abstract BACKGROUND Identifying high‐risk areas for the introduction of invasive alien species is particularly important for agricultural pests with a broad ...
Gabriel Dorotel da Silva Ferreira   +1 more
wiley   +1 more source

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang   +4 more
wiley   +1 more source

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