Results 221 to 230 of about 395,262 (311)

Physiological Traits for Climate-Ready Restoration. [PDF]

open access: yesEcol Evol
Barton KE   +3 more
europepmc   +1 more source

Lipoic Acid‐Intervened Decellularized Stem Cell Spheroid‐Based Injectable Granular Gel for Diabetic Tissue Regeneration

open access: yesAdvanced Science, EarlyView.
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]

open access: yes, 2009
Eilu, Gerald   +7 more
core  

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

open access: yesAdvanced Science, EarlyView.
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

Transient Terahertz Oscillations During Photoinduced Polarization Topology Reconfiguration in Ferroelectric Superlattices

open access: yesAdvanced Science, EarlyView.
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

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
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

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