Results 181 to 190 of about 24,143 (264)

Deciphering the catalytic and pharmacological mechanisms of Coptis chinensis herbzymes to renovate intestinal microenvironment for colitis alleviation

open access: yesBMEMat, EarlyView.
The synthesized CCzymes possess both antioxidant enzyme activity and pharmacological properties inherent to Coptis chinensis. By their antioxidant enzyme activity, CCzymes can attenuate oxidative stress within the inflammatory region of ulcerative colitis (UC), while their pharmacological activity acts on macrophage polarization and the intestinal ...
Zhichao Deng   +10 more
wiley   +1 more source

Marine silicon for biomedical sustainability

open access: yesBMEMat, EarlyView.
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han   +3 more
wiley   +1 more source

Understanding cationic polyelectrolyte thermogels with varying charge densities toward biomaterials design

open access: yesBMEMat, EarlyView.
Cationic polyurethane thermogels with customizable charge density were developed, exhibiting enhanced pH‐responsiveness. This work elucidates how cationic charges influence self‐assembly and thermogelling, providing insights for designing smart biomaterials.
Belynn Sim   +10 more
wiley   +1 more source

Sustainability Assessment of Circular Strategies in the Agri‐Food Industry: The Case of Olive Mills' By‐Product Valorization

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study integrates multidimensional sustainability indicators into a unified assessment approach to evaluate circular strategies in agri‐food industry businesses. This methodological approach is applied to empirically examine the case of the olive oil industry's by‐product valorization.
David Polonio   +3 more
wiley   +1 more source

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

open access: yesCarbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su   +11 more
wiley   +1 more source

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