Results 231 to 240 of about 543,934 (389)

Endocytic Programming via Porous Silicon Nanoparticles Enhances TLR4 Nanoagonist Potency for Macrophage‐Mediated Immunotherapy

open access: yesAdvanced Functional Materials, EarlyView.
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang   +9 more
wiley   +1 more source

Controlled Aggregation of Pyrene‐Based Supramolecular Nanostructures for Light‐Driven Switchable H2 or H2O2 Production

open access: yesAdvanced Functional Materials, EarlyView.
This work reports the self‐assembly of a pyrene derivative into two distinct nanostructures and their application in visible‐light photocatalysis. The two nanostructures exhibit completely different yet complementary photocatalytic activities, promoting either H2 or H2O2 evolution.
Marianna Barbieri   +6 more
wiley   +1 more source

Cardiology for dummies [PDF]

open access: yes, 2011
van Loon, Gunther
core  

Spatiotemporal pattern of commitment to slowed proliferation in the embryonic mouse heart indicates progressive differentiation of the cardiac conduction system [PDF]

open access: bronze, 2003
David Sedmera   +6 more
openalex   +1 more source

Composition and Resulting Band Alignment at the TiO2/InP Heterointerface: A Fundamental Study Combining Photoemission Spectroscopy and Theory

open access: yesAdvanced Functional Materials, EarlyView.
The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour   +11 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

open access: yesAdvanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto   +8 more
wiley   +1 more source

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