Results 131 to 140 of about 229,710 (296)
Deer herbivory reduces web-building spider abundance by simplifying forest vegetation structure
Elizabeth Roberson +3 more
openalex +1 more source
A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo +14 more
wiley +1 more source
FOSTER-An R package for forest structure extrapolation. [PDF]
Queinnec M +3 more
europepmc +1 more source
Appendix B. SORTIE/NZ alluvial terrace forest model structure and parameterization.
David M. Forsyth +10 more
openalex +1 more source
Structure of old-growth and managed stands and growth of old trees in a MediterraneanPinus nigraforest in southern Spain [PDF]
Pedro A. Tíscar +1 more
openalex +1 more source
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
The role of forest structure and composition in driving the distribution of bats in Mediterranean regions. [PDF]
Novella-Fernandez R +5 more
europepmc +1 more source
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Forest structure determines nest box use by Central European boreal owls. [PDF]
Ševčík R +5 more
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

