Results 61 to 70 of about 788 (127)
Ecological and genomic variation in ectomycorrhizal fungal exploration types
Summary Ectomycorrhizal fungi (EMF) produce mycelia with variable extension and complexity, which can be classified according to soil ‘exploration types’ (ETs). ETs have received attention as one of the few mycorrhizal trait frameworks, but without an empirical classification of ET functional diversity and environmental preferences, understanding and ...
Thomas M. Mansfield +55 more
wiley +1 more source
A new Anthropocene aesthetics: Mediating Harman, Morton, and Boysen
Abstract Practitioners of Object‐Oriented Ontology (OOO) have critiqued the metaphysical assumptions of contemporary poetry, and particularly the position of the lyric speaker. Scholars such as Graham Harman and Timothy Morton have positioned themselves as critics of these lyric sensibilities. In recent years, concerns have risen around their critiques
Chase Cate
wiley +1 more source
This review provides a comprehensive and up‐to‐date overview of applications of machine learning in predicting lithium/sodium‐ion batteries' cycle life. ABSTRACT The cycle life of rechargeable batteries, such as lithium‐ion and sodium‐ion systems, is a critical performance metric that determines their suitability for various applications in the context
Bo Zhang +6 more
wiley +1 more source
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong +5 more
wiley +1 more source
Abstract The decline in biodiversity, particularly in agricultural landscapes, is a pressing global challenge. Monitoring is vital to assess biodiversity trends and conservation effectiveness, yet farmland remains underinvestigated. Engaging farmers and encouraging naturalists to take on new roles could help expand monitoring efforts and strengthen ...
Elin Lundquist +8 more
wiley +1 more source
Bayesian Spatial Framework for Quantifying Uncertainty in Labor Market Delineation
ABSTRACT Labor market delineation typically relies on deterministic regionalization algorithms that treat commuting flows as fixed inputs and produce a single optimal partition. These approaches obscure uncertainty in boundary placement and cannot distinguish stable labor market cores from transitional regions where affiliation is ambiguous. We develop
Jamintha Samarakoon +2 more
wiley +1 more source
Evaluating the Impact of Aggregation Operators on Fuzzy Signatures for Robot Path Planning. [PDF]
Karadeniz AM +3 more
europepmc +1 more source
Emerging hotspots of groundwater conflicts during droughts in Germany. [PDF]
Sodoge J +5 more
europepmc +1 more source
Smart wastewater management in hydro-technical systems using digital twin technology. [PDF]
Ahanger TA +4 more
europepmc +1 more source
An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks. [PDF]
Padmini Devi B +3 more
europepmc +1 more source

