Results 241 to 250 of about 61,485 (353)

Nanoarchitectonics of Metal–Organic Framework and Nanocellulose Composites for Multifunctional Environmental Remediation

open access: yesAdvanced Materials, EarlyView.
Nanoscale metal–organic frameworks (MOFs) and nanocellulose composites have significant potential for the multi‐functional remediation of the environment. This review focused on the synthesis strategies (in situ growth, ex situ growth, and other approaches), typical forms (aerogel, hydrogel, beads, and membrane), and applications in the removal of ...
Ye Song   +13 more
wiley   +1 more source

Flippase‐Mediated Hybrid Vesicle Division

open access: yesAdvanced Materials, EarlyView.
The successful reconstitution of Drs2p–Cdc50p flippase in small and giant polymer lipid hybrid vesicles is illustrated. The hybrid vesicles show adenosine 5′‐triphosphate consumption and flipping of 2‐dioleoyl‐sn‐glycero‐3‐phospho‐l‐serine lipids from the inner to the outer leaflet.
Paula De Dios Andres   +5 more
wiley   +1 more source

Technetium-Labeled Myocardial Perfusion Agents

open access: hybrid, 1994
Jaekyeong Heo, Abdulmassih S. Iskandrian
openalex   +1 more source

Thermionics in Topological Materials

open access: yesAdvanced Materials, EarlyView.
Thermionics is one of the fundamental energy conversion mechanisms in solid state systems. Recent development in topological materials opens new avenues in developing thermionic systems and devices. Due to the linear energy dispersion and topological protection of charge transport, these new materials are promising candidates for high efficiency ...
Sunchao Huang   +8 more
wiley   +1 more source

Quantifying and Contextualizing Radiation Doses in Common Pediatric Medical Imaging Examinations. [PDF]

open access: yesJ Pediatr Clin Pract
Stewart C   +17 more
europepmc   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Correction: Breast Cancer Sentinel Lymph Node Detection Rate: First Large Scale Multi-Centric Data for Technetium Phytate. [PDF]

open access: yesArch Iran Med
Omranipour R   +7 more
europepmc   +1 more source

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