Results 151 to 160 of about 1,156,708 (262)

Dedication: Michael P. McNulty [PDF]

open access: yes, 2016
Roger Williams University Law Review Staff
core   +1 more source

4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles

open access: yesAdvanced Functional Materials, EarlyView.
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner   +12 more
wiley   +1 more source

DEDICATION

open access: yesZygon, 1986
doaj   +2 more sources

Atomically Revealing Bulk Point Defect Dynamics in Hydrogen‐Driven γ‐Fe2O3 → Fe3O4 → FeO Transformation

open access: yesAdvanced Functional Materials, EarlyView.
In situ TEM uncovers the atomic‐scale mechanisms underlying hydrogen‐driven γ‐Fe2O3→Fe3O4→FeO reduction. In γ‐Fe2O3, oxygen vacancies cluster around intrinsic Fe vacancies, leading to nanopore formation, whereas in Fe3O4, vacancy aggregation is suppressed, preserving a dense structure.
Yupeng Wu   +14 more
wiley   +1 more source

The Role of Servant Leadership in Work Engagement Among Healthcare Professionals. [PDF]

open access: yesHealthcare (Basel)
Malićanin V   +4 more
europepmc   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Dedication/Dédicace

open access: yesCanadian Jewish Studies, 2003

doaj   +1 more source

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