Physiological Traits for Climate-Ready Restoration. [PDF]
Barton KE +3 more
europepmc +1 more source
ABSTRACT Advancements in tissue engineering have revolutionized therapeutic paradigms for diabetic tissue defects; however, the lack of applicable scaffold containing various bioactive substance aggregates remained a critical bottleneck hindering satisfactory repair effect.
Tao Wang +8 more
wiley +1 more source
Traditional knowledge on tree management and forest restoration of Mabira central reserve, Uganda [PDF]
Eilu, Gerald +7 more
core
Trust-building as a Keystone Activity in Beaver-related Restoration Practice. [PDF]
Erickson BD, Jones MS.
europepmc +1 more source
Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +1 more source
Commentary: Field-based measurement tools to distinguish clonal <i>Typha</i> taxa and estimate biomass: a resource for conservation and restoration. [PDF]
Elgersma KJ +3 more
europepmc +1 more source
Terahertz resonances in crystalline heterostructures could close a spectral gap between conventional electronics and photonics while opening new windows on non‐equilibrium lattice dynamics. Femtosecond optical screening of the depolarization field in epitaxial PbTiO3/SrTiO3 superlattices launches a collective polar mode that oscillates near 1 THz and ...
Deepankar Sri Gyan +13 more
wiley +1 more source
LandscapeCPR: Collective, Participatory Restoration of Smallholder Agricultural Landscapes. [PDF]
International Center for Tropical Agriculture
core
Molecular Passports for Ex Situ Seed Donors: Enhanced Genetic Monitoring for Plant Conservation. [PDF]
Hamilton JA.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source

