Results 191 to 200 of about 212,913 (265)

Longitudinal decline of driving safety in Parkinson disease. [PDF]

open access: yesNeurology, 2017
Uc EY   +4 more
europepmc   +1 more source

Electron‐Deficient Linkers Enhance H2O2 Electrosynthesis in Covalent Organic Frameworks

open access: yesAdvanced Functional Materials, EarlyView.
Linker π‐conjugation modulates the electronic state of the Ni–N4 centers and their interaction with the key *OOH intermediate while preserving the primary coordination motif. NiPc‐PTDA delivers an H2O2 selectivity of 92% and a production rate of 34.8 mol gcat−1 h−1, highlighting linker electronic properties as a molecular design parameter for NiPc ...
Houting Xie   +7 more
wiley   +1 more source

Does Chronic Kidney Disease-Induced Cognitive Impairment Affect Driving Safety? [PDF]

open access: yesCan J Kidney Health Dis, 2018
Kepecs DM, Glick L, Silver SA, Yuen DA.
europepmc   +1 more source

A Magneto‐Mechanically Activated Nerve Guidance Conduit Promotes Peripheral Nerve Regeneration via TIMP1‐Mediated Membrane Tension Transfer

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a magneto‐mechanical strategy that incorporates FP@MSCs into an aligned PCL/GelMA nerve guidance conduit. Magnetic stimulation increases membrane tension in FP@MSCs, triggering cytoskeletal remodeling, Schwann cell‐like differentiation, and TIMP1 secretion. TIMP1 activates ITGB1/CD63–FAK signaling in NE‐4C cells, increasing membrane
Xinyu Zhu   +14 more
wiley   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

open access: yesAdvanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Photoinduced Interfacial Electronic Modulation in Fe2O3‐BiVO4 Heterostructures for Enhanced Photo‐Assisted Zn‐Air Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Light irradiation activates the Fe2O3‐BiVO4 heterostructure, enabling efficient solar‐electrochemical coupling in zinc‐air batteries. The built‐in electric field drives directional charge separation, guiding photoelectrons toward oxygen reduction sites and accumulating holes for oxygen evolution, thereby reducing polarization and enhancing discharge ...
Yili Liu   +7 more
wiley   +1 more source

Engineering a Fluorinated AlPO4 Interface: Toward High Initial Coulombic Efficiency and Stable Oxygen Redox in Li‐Rich Layered Oxide Cathodes

open access: yesAdvanced Functional Materials, EarlyView.
We report a chemically incorporated fluorinated AlPO4 (AlPO4‐F) architecture that functions as a multifunctional “interfacial fortress” for Li‐rich layered oxides (LLOs). By modulating the surface potential to –32.16 mV, this architecture enriches Li+ concentration and repels detrimental electrolyte anions.
Hojun Moon   +13 more
wiley   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

open access: yesAdvanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj   +23 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

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