Results 141 to 150 of about 16,443 (262)
Abstract With the rapid expansion of transnational biodiversity policy instruments promoting large‐scale landscape transformations that depend on public support for their success and feasibility, understanding the mechanisms underlying pro‐biodiversity attitudes has become important.
Oriol Garcia‐Antúnez +3 more
wiley +1 more source
A prognostic nomogram integrating radiomic features and white matter hyperintensity (WMH) grading was developed to enable individualized survival prediction in patients with brain metastases (BMs). Integration of these imaging biomarkers into the clinical model enhanced predictive performance, indicating their incremental prognostic value for BM ...
Jianan Ni +7 more
wiley +1 more source
First-passage-based boundary estimation in functional data. [PDF]
Kuzu AT, Celik N.
europepmc +1 more source
Regional analysis of spatiotemporal trends in Colorado potato beetle abundance
Leveraging a large data set on Colorado potato beetles in Wisconsin, we examine spatial and temporal abundance trends. Spatiotemporal statistical models substantially improve fit and show that climate and management factors are positively associated with abundance levels.
Nursultan Azhimuratov +4 more
wiley +1 more source
Real-Time WBAN Monitoring: An Adaptive Framework for Selective Signal Restoration and Physiological Trend Prediction. [PDF]
Alghamdi F, Bajaber F.
europepmc +1 more source
Take flight: predation risk induces wing polyphenism and dispersal in the aphid Myzus persicae
Predator risk above a critical density induces winged morphs in Myzus persicae, promoting dispersal and reducing predation compared with wingless aphids. This density‐dependent phenotypic plasticity enhances survival but may compromise biological control by facilitating aphid dispersal.
Jamin Ali +5 more
wiley +1 more source
A Wavefield-Domain Method for Refining Residual Timing Errors in Passive-Source Seismic Exploration. [PDF]
Song J, Zhu G, Li Q, Zhang Y.
europepmc +1 more source
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source
Urban low-altitude UAV path planning by fusing an enhanced A* algorithm with an adaptive artificial potential field method. [PDF]
Gao W, Li L, Pang D.
europepmc +1 more source
An energy‐conserving discrete framework for the vertical discretisation of stratified ocean models is developed using internal gravity‐wave theory. A β$$ \beta $$‐indexed family of schemes is analysed through perturbation theory, revealing optimal parameter choices and grid designs that reduce truncation errors significantly.
Gabriel Derrida +3 more
wiley +1 more source

